On the public citation graph

Federated learning in smart cities: Privacy and security survey

https://doi.org/10.1016/j.ins.2023.03.033

0 signed · 283 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/0-387-28222-xopenalex-snapshot

Privacy and Technologies of Identity: A Cross-Disciplinary Conversation

inferredcites →https://doi.org/10.1007/978-1-4419-5906-5openalex-snapshot

Encyclopedia of Cryptography and Security

inferredcites →https://doi.org/10.1007/978-3-030-59137-3_20openalex-snapshot

Blockchain-Based Federated Learning in Medicine

inferredcites →https://doi.org/10.1007/978-3-030-60548-3openalex-snapshot

Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning

inferredcites →https://doi.org/10.1007/978-3-030-63076-8_2openalex-snapshot

Deep Leakage from Gradients

inferredcites →https://doi.org/10.1007/978-3-031-02347-7openalex-snapshot

Database Anonymization

inferredcites →https://doi.org/10.1007/978-3-031-11748-0_15openalex-snapshot

Federated Transfer Reinforcement Learning for Autonomous Driving

inferredcites →https://doi.org/10.1007/978-3-319-44924-1openalex-snapshot

Designing, Developing, and Facilitating Smart Cities

inferredcites →https://doi.org/10.1007/s00500-017-2676-6openalex-snapshot

A trajectory privacy-preserving scheme based on query exchange in mobile social networks

inferredcites →https://doi.org/10.1007/s00779-017-1056-7openalex-snapshot

Utilizing fully homomorphic encryption to implement secure medical computation in smart cities

inferredcites →https://doi.org/10.1007/s11036-020-01586-4openalex-snapshot

FedMEC: Improving Efficiency of Differentially Private Federated Learning via Mobile Edge Computing

inferredcites →https://doi.org/10.1007/s41666-020-00082-4openalex-snapshot

Federated Learning for Healthcare Informatics

inferredcites →https://doi.org/10.1016/c2017-0-02545-4openalex-snapshot

Smart Cities Cybersecurity and Privacy

inferredcites →https://doi.org/10.1016/j.asoc.2021.107235openalex-snapshot

CEEP-FL: A comprehensive approach for communication efficiency and enhanced privacy in federated learning

inferredcites →https://doi.org/10.1016/j.comcom.2020.02.024openalex-snapshot

Smart city-based e-commerce security technology with improvement of SET network protocol

inferredcites →https://doi.org/10.1016/j.comcom.2021.02.014openalex-snapshot

Privacy preserving distributed machine learning with federated learning

inferredcites →https://doi.org/10.1016/j.comnet.2020.107569openalex-snapshot

Customized Federated Learning for accelerated edge computing with heterogeneous task targets

inferredcites →https://doi.org/10.1016/j.cose.2020.101824openalex-snapshot

EaSTFLy: Efficient and secure ternary federated learning

inferredcites →https://doi.org/10.1016/j.cose.2020.101889openalex-snapshot

Highly efficient federated learning with strong privacy preservation in cloud computing

inferredcites →https://doi.org/10.1016/j.dcan.2021.04.001openalex-snapshot

Towards asynchronous federated learning for heterogeneous edge-powered internet of things

inferredcites →https://doi.org/10.1016/j.future.2016.11.011openalex-snapshot

Multi-layer cloud architectural model and ontology-based security service framework for IoT-based smart homes

inferredcites →https://doi.org/10.1016/j.future.2017.06.031openalex-snapshot

Towards a secure service provisioning framework in a Smart city environment

inferredcites →https://doi.org/10.1016/j.future.2017.08.006openalex-snapshot

Real-time secure communication for Smart City in high-speed Big Data environment

inferredcites →https://doi.org/10.1016/j.future.2017.11.022openalex-snapshot

IoT security: Review, blockchain solutions, and open challenges

inferredcites →https://doi.org/10.1016/j.future.2020.06.028openalex-snapshot

Enhancing cyber–physical systems with hybrid smart city cyber security architecture for secure public data-smart network

inferredcites →https://doi.org/10.1016/j.future.2020.10.007openalex-snapshot

A survey on security and privacy of federated learning

inferredcites →https://doi.org/10.1016/j.future.2020.12.003openalex-snapshot

Privacy-preserving blockchain-based federated learning for traffic flow prediction

inferredcites →https://doi.org/10.1016/j.ijmedinf.2018.01.007openalex-snapshot

Federated learning of predictive models from federated Electronic Health Records

inferredcites →https://doi.org/10.1016/j.inffus.2017.10.006openalex-snapshot

A survey on deep learning for big data

inferredcites →https://doi.org/10.1016/j.ins.2018.06.070openalex-snapshot

Data fusion technique in SPIDER Peer-to-Peer networks in smart cities for security enhancements

inferredcites →https://doi.org/10.1016/j.ins.2019.07.069openalex-snapshot

Privacy-aware service placement for mobile edge computing via federated learning

inferredcites →https://doi.org/10.1016/j.ins.2020.05.137openalex-snapshot

Federated learning with adaptive communication compression under dynamic bandwidth and unreliable networks

inferredcites →https://doi.org/10.1016/j.ins.2021.12.102openalex-snapshot

Fairness and accuracy in horizontal federated learning

inferredcites →https://doi.org/10.1016/j.jbi.2021.103735openalex-snapshot

FeARH: Federated machine learning with anonymous random hybridization on electronic medical records

inferredcites →https://doi.org/10.1016/j.jnca.2019.06.001openalex-snapshot

SEAL: SDN based secure and agile framework for protecting smart city applications from DDoS attacks

inferredcites →https://doi.org/10.1016/j.jss.2019.110484openalex-snapshot

Modeling, analyzing and predicting security cascading attacks in smart buildings systems-of-systems

inferredcites →https://doi.org/10.1016/j.phycom.2021.101381openalex-snapshot

Battery-constrained federated edge learning in UAV-enabled IoT for B5G/6G networks

inferredcites →https://doi.org/10.1016/j.pmcj.2017.03.014openalex-snapshot

Zero knowledge based client side deduplication for encrypted files of secure cloud storage in smart cities

inferredcites →https://doi.org/10.1016/j.scs.2018.04.014openalex-snapshot

Privacy preserving data by conceptualizing smart cities using MIDR-Angelization

inferredcites →https://doi.org/10.1016/j.scs.2019.101660openalex-snapshot

A survey on cybersecurity, data privacy, and policy issues in cyber-physical system deployments in smart cities

inferredcites →https://doi.org/10.1016/j.scs.2020.102220openalex-snapshot

Blockchain and federated learning-based distributed computing defence framework for sustainable society

inferredcites →https://doi.org/10.1016/j.scs.2020.102343openalex-snapshot

A novel and secure attacks detection framework for smart cities industrial internet of things

inferredcites →https://doi.org/10.1016/j.telpol.2018.07.003openalex-snapshot

A comparison of selected Western and Chinese smart governance: The application of ICT in governmental management, participation and collaboration

inferredcites →https://doi.org/10.1080/15536548.2012.10845652openalex-snapshot

The Effectiveness of Data Shuffling for Privacy-Preserving Data Mining Applications

inferredcites →https://doi.org/10.1093/bioinformatics/btaa1006openalex-snapshot

FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery

inferredcites →https://doi.org/10.1108/ijhrh-01-2018-0007openalex-snapshot

RETRACTED: Technological improvement in modern health care applications using Internet of Things (IoT) and proposal of novel health care approach

inferredcites →https://doi.org/10.1109/access.2018.2853985openalex-snapshot

Security and Privacy in Smart Cities: Challenges and Opportunities

inferredcites →https://doi.org/10.1109/access.2020.3037474openalex-snapshot

Secure and Provenance Enhanced Internet of Health Things Framework: A Blockchain Managed Federated Learning Approach

inferredcites →https://doi.org/10.1109/comst.2021.3075439openalex-snapshot

Federated Learning for Internet of Things: A Comprehensive Survey

inferredcites →https://doi.org/10.1109/icdcs.2019.00099openalex-snapshot

CMFL: Mitigating Communication Overhead for Federated Learning

inferredcites →https://doi.org/10.1109/iceccs.2017.31openalex-snapshot

A Model Driven Method to Design and Analyze Secure Architectures of Systems-of-Systems

inferredcites →https://doi.org/10.1109/jiot.2019.2956615openalex-snapshot

Communication-Efficient Federated Learning for Wireless Edge Intelligence in IoT

inferredcites →https://doi.org/10.1109/jiot.2020.2966778openalex-snapshot

FDC: A Secure Federated Deep Learning Mechanism for Data Collaborations in the Internet of Things

inferredcites →https://doi.org/10.1109/jiot.2020.2977383openalex-snapshot

Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing

inferredcites →https://doi.org/10.1109/jiot.2020.2984887openalex-snapshot

Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence

inferredcites →https://doi.org/10.1109/jiot.2020.2991401openalex-snapshot

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

inferredcites →https://doi.org/10.1109/jiot.2020.3017377openalex-snapshot

Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices

inferredcites →https://doi.org/10.1109/jiot.2020.3026589openalex-snapshot

When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network

inferredcites →https://doi.org/10.1109/jiot.2021.3056185openalex-snapshot

Dynamic-Fusion-Based Federated Learning for COVID-19 Detection

inferredcites →https://doi.org/10.1109/jiot.2022.3157299openalex-snapshot

DER Forecast Using Privacy-Preserving Federated Learning

inferredcites →https://doi.org/10.1109/jsen.2021.3076767openalex-snapshot

Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging

inferredcites →https://doi.org/10.1109/mcom.2017.1600267cmopenalex-snapshot

Security and Privacy in Smart City Applications: Challenges and Solutions

inferredcites →https://doi.org/10.1109/mcom.2018.1700401openalex-snapshot

Privacy-Preserving and Efficient Aggregation Based on Blockchain for Power Grid Communications in Smart Communities

inferredcites →https://doi.org/10.1109/mcom.2019.1800234openalex-snapshot

Fog-Enabled Smart Health: Toward Cooperative and Secure Healthcare Service Provision

inferredcites →https://doi.org/10.1109/mis.2020.2988604openalex-snapshot

FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare

inferredcites →https://doi.org/10.1109/mnet.001.1900506openalex-snapshot

On Safeguarding Privacy and Security in the Framework of Federated Learning

inferredcites →https://doi.org/10.1109/mnet.011.1900317openalex-snapshot

Federated Learning for Data Privacy Preservation in Vehicular Cyber-Physical Systems

inferredcites →https://doi.org/10.1109/mnet.2016.1600110nmopenalex-snapshot

Using Software-Defined Networking for Ransomware Mitigation: The Case of CryptoWall

inferredcites →https://doi.org/10.1109/mwc.01.1900525openalex-snapshot

A Secure Federated Learning Framework for 5G Networks

inferredcites →https://doi.org/10.1109/ojcs.2022.3206407openalex-snapshot

Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge

inferredcites →https://doi.org/10.1109/spw.2019.00041openalex-snapshot

IOTFLA : A Secured and Privacy-Preserving Smart Home Architecture Implementing Federated Learning

inferredcites →https://doi.org/10.1109/tdsc.2016.2613521openalex-snapshot

Collective Data-Sanitization for Preventing Sensitive Information Inference Attacks in Social Networks

inferredcites →https://doi.org/10.1109/tifs.2017.2787987openalex-snapshot

Privacy-Preserving Deep Learning via Additively Homomorphic Encryption

inferredcites →https://doi.org/10.1109/tifs.2020.2988575openalex-snapshot

Federated Learning With Differential Privacy: Algorithms and Performance Analysis

inferredcites →https://doi.org/10.1109/tii.2019.2942179openalex-snapshot

Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics

inferredcites →https://doi.org/10.1109/tii.2019.2942190openalex-snapshot

Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT

inferredcites →https://doi.org/10.1109/tii.2019.2945367openalex-snapshot

Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence

inferredcites →https://doi.org/10.1109/tii.2020.3010798openalex-snapshot

Communication-Efficient Federated Learning for Digital Twin Edge Networks in Industrial IoT

inferredcites →https://doi.org/10.1109/tii.2020.3012157openalex-snapshot

Privacy-Aware Data Fusion and Prediction With Spatial-Temporal Context for Smart City Industrial Environment

inferredcites →https://doi.org/10.1109/tii.2020.3017668openalex-snapshot

Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks

inferredcites →https://doi.org/10.1109/tii.2020.3036166openalex-snapshot

VFL: A Verifiable Federated Learning With Privacy-Preserving for Big Data in Industrial IoT

inferredcites →https://doi.org/10.1109/tii.2021.3113708openalex-snapshot

Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data

inferredcites →https://doi.org/10.1109/tits.2020.3017474openalex-snapshot

Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning

inferredcites →https://doi.org/10.1109/tkde.2021.3084141openalex-snapshot

Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation

inferredcites →https://doi.org/10.1109/tmc.2020.3045266openalex-snapshot

FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring

inferredcites →https://doi.org/10.1109/tnnls.2019.2944481openalex-snapshot

Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

inferredcites →https://doi.org/10.1109/tnnls.2022.3166101openalex-snapshot

Model Pruning Enables Efficient Federated Learning on Edge Devices

inferredcites →https://doi.org/10.1109/tnnls.2022.3216981openalex-snapshot

Privacy and Robustness in Federated Learning: Attacks and Defenses

inferredcites →https://doi.org/10.1109/tnse.2020.3002796openalex-snapshot

Zero Knowledge Clustering Based Adversarial Mitigation in Heterogeneous Federated Learning

inferredcites →https://doi.org/10.1109/tpds.2020.2975189openalex-snapshot

Accelerating Federated Learning via Momentum Gradient Descent

inferredcites →https://doi.org/10.1109/tsc.2019.2897554openalex-snapshot

Demystifying Membership Inference Attacks in Machine Learning as a Service

inferredcites →https://doi.org/10.1109/tvt.2020.2973651openalex-snapshot

Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles

inferredcites →https://doi.org/10.1109/tvt.2020.2984369openalex-snapshot

Improving TCP Performance Over WiFi for Internet of Vehicles: A Federated Learning Approach

inferredcites →https://doi.org/10.1145/2810103openalex-snapshot

Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security

inferredcites →https://doi.org/10.1145/2976749openalex-snapshot

Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security

inferredcites →https://doi.org/10.1145/3243734openalex-snapshot

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security

inferredcites →https://doi.org/10.1145/3286490openalex-snapshot

Proceedings of the Second Workshop on Distributed Infrastructures for Deep Learning

inferredcites →https://doi.org/10.1145/3411508openalex-snapshot

Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security

inferredcites →https://doi.org/10.1145/3418283openalex-snapshot

Industrial Federated Topic Modeling

inferredcites →https://doi.org/10.1145/3429252openalex-snapshot

Decentralised Learning in Federated Deployment Environments

inferredcites →https://doi.org/10.1184/r1/6625769openalex-snapshot

Simple Demographics Often Identify People Uniquely

inferredcites →https://doi.org/10.1371/journal.pone.0230706openalex-snapshot

LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data

inferredcites →https://doi.org/10.1561/0400000042openalex-snapshot

The Algorithmic Foundations of Differential Privacy

inferredcites →https://doi.org/10.1561/2200000083openalex-snapshot

Advances and Open Problems in Federated Learning

inferredcites →https://doi.org/10.18653/v1/2020.emnlp-mainopenalex-snapshot

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.128openalex-snapshot

Privacy-Preserving News Recommendation Model Learning

inferredcites →https://doi.org/10.21275/v5i2.nov161007openalex-snapshot

Role of Big Data and Analytics in Smart Cities

inferredcites →https://doi.org/10.2139/ssrn.3440802openalex-snapshot

Bitcoin: A Peer-to-Peer Electronic Cash System

inferredcites →https://doi.org/10.24963/ijcai.2019/657openalex-snapshot

Data Poisoning against Differentially-Private Learners: Attacks and Defenses

inferredcites →https://doi.org/10.26483/ijarcs.v8i5.4021openalex-snapshot

A brief study of Wannacry Threat: Ransomware Attack 2017

inferredcites →https://doi.org/10.3390/app10082864openalex-snapshot

FedOpt: Towards Communication Efficiency and Privacy Preservation in Federated Learning

inferredcites →https://doi.org/10.3390/app8122663openalex-snapshot

Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study

inferredcites →https://doi.org/10.3390/computers9030074openalex-snapshot

Toward a Sustainable Cybersecurity Ecosystem

inferredcites →https://doi.org/10.3390/electronics9050773openalex-snapshot

CrowdSFL: A Secure Crowd Computing Framework Based on Blockchain and Federated Learning

inferredcites →https://doi.org/10.3390/info11070365openalex-snapshot

An Improved Traffic Congestion Monitoring System Based on Federated Learning

inferredcites →https://doi.org/10.3390/info13050263openalex-snapshot

A Review on Federated Learning and Machine Learning Approaches: Categorization, Application Areas, and Blockchain Technology

inferredcites →https://doi.org/10.3390/s18093053openalex-snapshot

An Ontology-Based Cybersecurity Framework for the Internet of Things

inferredcites →https://doi.org/10.3390/s20247182openalex-snapshot

A Critical Evaluation of Privacy and Security Threats in Federated Learning

inferredcites →https://doi.org/10.3966/160792642020122107022openalex-snapshot

Secure federated learning with efficient communication in vehicle network

inferredcites →https://doi.org/10.4135/9781446212196openalex-snapshot

Cybercrime and Society

inferredcites →https://doi.org/10.48550/arxiv.1511.05950openalex-snapshot

Staleness-aware Async-SGD for Distributed Deep Learning

inferredcites →https://doi.org/10.48550/arxiv.1712.05526openalex-snapshot

Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

inferredcites →https://doi.org/10.48550/arxiv.1806.00582openalex-snapshot

Federated Learning with Non-IID Data

inferredcites →https://doi.org/10.48550/arxiv.1808.04866openalex-snapshot

Mitigating Sybils in Federated Learning Poisoning

inferredcites →https://doi.org/10.48550/arxiv.1904.03743openalex-snapshot

Information Bottleneck and its Applications in Deep Learning

inferredcites →https://doi.org/10.48550/arxiv.1906.06268openalex-snapshot

Variational Federated Multi-Task Learning

inferredcites →https://doi.org/10.48550/arxiv.1910.02578openalex-snapshot

Differential Privacy-enabled Federated Learning for Sensitive Health Data

inferredcites →https://doi.org/10.48550/arxiv.1910.12603openalex-snapshot

A blockchain-orchestrated Federated Learning architecture for healthcare consortia

inferredcites →https://doi.org/10.48550/arxiv.1911.07963openalex-snapshot

Can You Really Backdoor Federated Learning?

inferredcites →https://doi.org/10.48550/arxiv.1912.01792openalex-snapshot

Learn Electronic Health Records by Fully Decentralized Federated Learning

inferredcites →https://doi.org/10.48550/arxiv.1912.11464openalex-snapshot

Attack-Resistant Federated Learning with Residual-based Reweighting

inferredcites →https://doi.org/10.48550/arxiv.2005.11756openalex-snapshot

Reliability and Performance Assessment of Federated Learning on Clinical Benchmark Data

inferredcites →https://doi.org/10.48550/arxiv.2101.11693openalex-snapshot

Dopamine: Differentially Private Federated Learning on Medical Data

inferredcites →https://doi.org/10.5753/courb.2020.12361openalex-snapshot

Towards Federated Learning in Edge Computing for Real-Time Traffic Estimation in Smart Cities

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4657115openalex-extracted

Takle the Data Heterogeneous Variations in Federated Learning Via Adaptive Aggregate Weights

inferred← citeshttps://doi.org/10.1002/9781394314409.ch8openalex-snapshot

Federated Learning in Secure Smart City Sensing

inferred← citeshttps://doi.org/10.1002/cpe.70640openalex-snapshot

FRISC: Mitigating Privacy Leakage in Federated Learning through Frequency‐domain Feature Screening

inferred← citeshttps://doi.org/10.1002/spy2.70051openalex-snapshot

User Data Privacy Protection Based on Machine Learning and Encryption Algorithms

inferred← citeshttps://doi.org/10.1007/978-3-031-73344-4_32openalex-snapshot

A Survey on Privacy-Enhancing Techniques in the Era of Artificial Intelligence

inferred← citeshttps://doi.org/10.1007/978-3-031-78183-4_12openalex-snapshot

Improving Adaptive Runoff Forecasts in Data-Scarce Watersheds Through Personalized Federated Learning

inferred← citeshttps://doi.org/10.1007/978-3-031-80949-1_5openalex-snapshot

Multi-modal Legal Application on Advanced Federated Learning Technique for Healthcare Industry 4.0: Applications, Taxonomies, and Security-Privacy Issues

inferred← citeshttps://doi.org/10.1007/978-3-031-99270-4_11openalex-snapshot

Federated Learning in Modern Education: Balancing Privacy, Scalability, and Effectiveness

inferred← citeshttps://doi.org/10.1007/978-3-032-01799-4_10openalex-snapshot

Protecting Privacy in IoT-Based Deep Learning: State-of-the-Art Methods and Challenges

inferred← citeshttps://doi.org/10.1007/978-3-032-23447-6_27openalex-snapshot

Heterogeneity-Aware Semi-asynchronous Federated Learning

inferred← citeshttps://doi.org/10.1007/978-981-95-1394-9_9openalex-snapshot

Federated Learning for Enhanced Security in 6G-Enabled Internet of Medical Things Systems

inferred← citeshttps://doi.org/10.1007/978-981-95-2680-2_37openalex-snapshot

A Review on Secure and Private Edge Computing with Federated Learning

inferred← citeshttps://doi.org/10.1007/978-981-96-7473-2_12openalex-snapshot

RETRACTED CHAPTER: Federated Learning for Privacy-Preserving Oncology Research

inferred← citeshttps://doi.org/10.1007/978-981-99-7093-3_40openalex-snapshot

AdaptPSOFL: Adaptive Particle Swarm Optimization-Based Layer Offloading Framework for Federated Learning

inferred← citeshttps://doi.org/10.1007/978-981-99-7862-5_6openalex-snapshot

Detecting IoT Malware Using Federated Learning

inferred← citeshttps://doi.org/10.1007/s10115-024-02285-2openalex-snapshot

Trustworthy federated learning: privacy, security, and beyond

inferred← citeshttps://doi.org/10.1007/s10462-026-11579-6openalex-snapshot

Navigating threats in federated recommender systems: a survey of attack models and defense strategies

inferred← citeshttps://doi.org/10.1007/s10489-025-06813-7openalex-snapshot

Federated trajectory clustering based on multi-feature similarity calculation

inferred← citeshttps://doi.org/10.1007/s10586-024-05070-6openalex-snapshot

Navigating the fusion of federated learning and big data: a systematic review for the AI landscape

inferred← citeshttps://doi.org/10.1007/s10791-026-10206-wopenalex-snapshot

Federated deep learning for privacy-preserving diagnosis in multi-institutional healthcare networks

inferred← citeshttps://doi.org/10.1007/s10994-026-07162-3openalex-snapshot

Similarity-Promoting Resilient Adaptive Aggregation in Peer-to-Peer Machine Learning

inferred← citeshttps://doi.org/10.1007/s11042-026-21431-2openalex-snapshot

Genetic algorithm-driven aggregation for federated learning in 6G-enabled smart cities

inferred← citeshttps://doi.org/10.1007/s11276-024-03876-1openalex-snapshot

An agile solution for enhancing cybersecurity attack detection using deep learning privacy-preservation in IoT-smart city

inferred← citeshttps://doi.org/10.1007/s11431-025-3015-8openalex-snapshot

Enhanced real-time intelligent sensing with privacy protection by a compact space-time-coding metasurface antenna

inferred← citeshttps://doi.org/10.1007/s12083-025-01962-5openalex-snapshot

ADPHE-FL: Federated learning method based on adaptive differential privacy and homomorphic encryption

inferred← citeshttps://doi.org/10.1007/s13369-025-10864-wopenalex-snapshot

Privacy-Preserving AI for Distributed IoT in Urban Sustainability Networks

inferred← citeshttps://doi.org/10.1007/s44196-025-00829-0openalex-snapshot

Federated Learning with Homomorphic Encryption: A Privacy-Preserving Solution for Smart Cities

inferred← citeshttps://doi.org/10.1007/s44354-026-00021-6openalex-snapshot

Recent trends in data privacy and security of IoT networks through federated learning

inferred← citeshttps://doi.org/10.1016/b978-0-44-327726-9.00023-xopenalex-snapshot

Blockchain-empowered federated learning to enhance data privacy and sustainability in smart cities

inferred← citeshttps://doi.org/10.1016/b978-0-443-34174-8.00019-3openalex-snapshot

Internet of vehicles for smart cities

inferred← citeshttps://doi.org/10.1016/j.array.2023.100293openalex-snapshot

Differential privacy in edge computing-based smart city Applications:Security issues, solutions and future directions

inferred← citeshttps://doi.org/10.1016/j.cie.2024.110011openalex-snapshot

Dynamic ensemble of regression neural networks based on predictive uncertainty

inferred← citeshttps://doi.org/10.1016/j.cviu.2024.104066openalex-snapshot

A proxy-data-based hierarchical adversarial patch generation method

inferred← citeshttps://doi.org/10.1016/j.dte.2025.100040openalex-snapshot

A comprehensive review of Digital Twin technologies in smart cities

inferred← citeshttps://doi.org/10.1016/j.egyr.2025.05.087openalex-snapshot

Federated learning and conditional diffusion model for privacy-preserving short-term voltage stability assessment in multi-region power systems

inferred← citeshttps://doi.org/10.1016/j.enbuild.2025.116123openalex-snapshot

An interpretable generalized additive neural networks for electricity theft detection in smart cities using balanced data and intelligent grid management

inferred← citeshttps://doi.org/10.1016/j.enbuild.2026.117055openalex-snapshot

A personalized federated meta-learning approach for distributed load forecasting of buildings

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111471openalex-snapshot

Federated learning in network traffic classification: Taxonomy of implementation, application, and impact on sixth-generation wireless networks

inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120492openalex-snapshot

A survey on location and motion tracking technologies, methodologies and applications in precision sports

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123776openalex-snapshot

FedCRMW: Federated model ownership verification with compression-resistant model watermarking

inferred← citeshttps://doi.org/10.1016/j.future.2024.107570openalex-snapshot

Multi-round decentralized dataset distillation with federated learning for Low Earth Orbit satellite communication

inferred← citeshttps://doi.org/10.1016/j.future.2025.108101openalex-snapshot

SHE-SFL: An efficient and privacy-preserving heterogeneous federated split learning architecture based on homomorphic encryption

inferred← citeshttps://doi.org/10.1016/j.ijcce.2024.08.001openalex-snapshot

A decentralised federated learning scheme for heterogeneous devices in cognitive IoT

inferred← citeshttps://doi.org/10.1016/j.ins.2023.119017openalex-snapshot

f-FNC: Privacy concerned efficient federated approach for fake news classification

inferred← citeshttps://doi.org/10.1016/j.ins.2023.119169openalex-snapshot

Blockchain and digital twin empowered trustworthy self-healing for edge-AI enabled industrial Internet of things

inferred← citeshttps://doi.org/10.1016/j.ins.2023.119448openalex-snapshot

An efficient and privacy-preserving query scheme in intelligent transportation systems

inferred← citeshttps://doi.org/10.1016/j.ins.2023.119717openalex-snapshot

A secure and privacy preserved infrastructure for VANETs based on federated learning with local differential privacy

inferred← citeshttps://doi.org/10.1016/j.ins.2023.119728openalex-snapshot

Word2Vec-based efficient privacy-preserving shared representation learning for federated recommendation system in a cross-device setting

inferred← citeshttps://doi.org/10.1016/j.ins.2023.119870openalex-snapshot

Differential privacy may have a potential optimization effect on some swarm intelligence algorithms besides privacy-preserving

inferred← citeshttps://doi.org/10.1016/j.ins.2023.119873openalex-snapshot

FedSW: Federated learning with adaptive sample weights

inferred← citeshttps://doi.org/10.1016/j.ins.2023.119897openalex-snapshot

A novel privacy-preserving graph convolutional network via secure matrix multiplication

inferred← citeshttps://doi.org/10.1016/j.ins.2024.120519openalex-snapshot

PT-ADP: A personalized privacy-preserving federated learning scheme based on transaction mechanism

inferred← citeshttps://doi.org/10.1016/j.ins.2024.120825openalex-snapshot

Federated learning via reweighting information bottleneck with domain generalization

inferred← citeshttps://doi.org/10.1016/j.ins.2024.121024openalex-snapshot

Privacy preservation-based federated learning with uncertain data

inferred← citeshttps://doi.org/10.1016/j.ins.2024.121030openalex-snapshot

Communication-efficient federated learning via personalized filter pruning

inferred← citeshttps://doi.org/10.1016/j.ins.2024.121223openalex-snapshot

Federated dual averaging learning algorithm with delayed gradients for composite optimization

inferred← citeshttps://doi.org/10.1016/j.ins.2024.121655openalex-snapshot

Restoration after deterioration in interdependent infrastructure networks: A two-stage hybrid method with minimum network performance loss

inferred← citeshttps://doi.org/10.1016/j.ins.2024.121711openalex-snapshot

An interpretable client decision tree aggregation process for federated learning

inferred← citeshttps://doi.org/10.1016/j.ins.2025.122957openalex-snapshot

Federated hierarchical clustering with automatic selection of optimal cluster numbers

inferred← citeshttps://doi.org/10.1016/j.ins.2026.123425openalex-snapshot

Dawid-Skene-model-based label-noise mitigation for federated learning

inferred← citeshttps://doi.org/10.1016/j.iot.2024.101061openalex-snapshot

Federated learning for green and sustainable 6G IIoT applications

inferred← citeshttps://doi.org/10.1016/j.iot.2024.101251openalex-snapshot

A contemporary survey of recent advances in federated learning: Taxonomies, applications, and challenges

inferred← citeshttps://doi.org/10.1016/j.iot.2025.101752openalex-snapshot

Enhancing IoT privacy with artificial intelligence: Recent advances and future directions

inferred← citeshttps://doi.org/10.1016/j.iot.2025.101770openalex-snapshot

Big data and Internet of Things applications in smart cities: Recent advances, challenges, and critical issues

inferred← citeshttps://doi.org/10.1016/j.iswa.2024.200462openalex-snapshot

Computationally Efficient Deep Federated Learning with Optimized Feature Selection for IoT Botnet Attack Detection

inferred← citeshttps://doi.org/10.1016/j.jksuci.2023.101820openalex-snapshot

Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets

inferred← citeshttps://doi.org/10.1016/j.jnca.2024.103989openalex-snapshot

Privacy preservation in Artificial Intelligence and Extended Reality (AI-XR) metaverses: A survey

inferred← citeshttps://doi.org/10.1016/j.jnca.2024.103996openalex-snapshot

Privacy-preserving federated learning for proactive maintenance of IoT-empowered multi-location smart city facilities

inferred← citeshttps://doi.org/10.1016/j.jocs.2025.102693openalex-snapshot

Private linear equation solving: An application to federated learning and extreme learning machines

inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112484openalex-snapshot

Tackling data-heterogeneity variations in federated learning via adaptive aggregate weights

inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113008openalex-snapshot

Bidirectional domain transfer knowledge distillation for catastrophic forgetting in federated learning with heterogeneous data

inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108889openalex-snapshot

Federated learning with noisy labels: A comprehensive and concise review of current methodologies and future directions

inferred← citeshttps://doi.org/10.1016/j.segan.2025.101794openalex-snapshot

Personalized poison attack tolerant federated learning for residential load forecasting

inferred← citeshttps://doi.org/10.1016/j.sigpro.2024.109742openalex-snapshot

Adaptive compressed learning boosts both efficiency and utility of differentially private federated learning

inferred← citeshttps://doi.org/10.1016/j.trpro.2025.03.069openalex-snapshot

Intrusion Detection in Smart Home Environments: A Machine Learning Approach

inferred← citeshttps://doi.org/10.1038/s41598-024-82636-9openalex-snapshot

A novel MAC protocol for power line communication with integrated NFC for smart home applications

inferred← citeshttps://doi.org/10.1049/cit2.12287openalex-snapshot

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

inferred← citeshttps://doi.org/10.1049/ipr2.70201openalex-snapshot

HoneyFL: Using Honeypots to Catch Backdoors in Federated Learning

inferred← citeshttps://doi.org/10.1049/itr2.70248openalex-snapshot

Accounting for Work Zone Disruptions in Traffic Flow Forecasting via Multi‐Channel Attention‐Based Spatio‐Temporal Graph Convolutional Networks

inferred← citeshttps://doi.org/10.1051/sands/2024014openalex-snapshot

A survey of joint security-safety for function, information and human in industry 5.0

inferred← citeshttps://doi.org/10.1080/09540091.2024.2325496openalex-snapshot

Explainable data mining model for hyperinsulinemia diagnostics

inferred← citeshttps://doi.org/10.1109/access.2024.3381611openalex-snapshot

Privacy and Security Concerns in Generative AI: A Comprehensive Survey

inferred← citeshttps://doi.org/10.1109/access.2025.3573933openalex-snapshot

Strategies for Reducing the Communication and Computation Costs in Cross-Silo Federated Learning: A Comprehensive Review

inferred← citeshttps://doi.org/10.1109/access.2025.3592481openalex-snapshot

Federated Learning for Distributed IoT Security: A Privacy-Preserving Approach to Intrusion Detection

inferred← citeshttps://doi.org/10.1109/comst.2026.3663434openalex-snapshot

Federated Learning for 6G Security: A Survey on Threats, Solutions, and Research Directions

inferred← citeshttps://doi.org/10.1109/fuzz-ieee60900.2024.10611769openalex-snapshot

Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability

inferred← citeshttps://doi.org/10.1109/gcwkshps68340.2025.11591099openalex-snapshot

FedGuard-IIoT: A Scalable Federated Learning Architecture for Network-IDS in the Industrial IoT

inferred← citeshttps://doi.org/10.1109/gtss68743.2026.11679691openalex-snapshot

A Comprehensive Review of Federated Learning for Green 6G-IIoT Ecosystems

inferred← citeshttps://doi.org/10.1109/ic2nc67409.2025.11376046openalex-snapshot

Federated Blockchain Intelligence: A Multi-Modal AI Framework for Cyber-Resilient Smart Cities

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462427openalex-snapshot

Communication-Efficient Federated Learning with Pre-Executed Gradient Descent

inferred← citeshttps://doi.org/10.1109/icbiti65527.2025.11500835openalex-snapshot

Federated Learning for Decentralized Smart City Infrastructure

inferred← citeshttps://doi.org/10.1109/icdcs63083.2025.00045openalex-snapshot

FedLTH: A Privacy-preserving Federated Learning Framework with Model Pruning on Edge Clients

inferred← citeshttps://doi.org/10.1109/iceem66692.2025.11225273openalex-snapshot

Federated Learning: A Comprehensive Survey of Applications, Challenges, and Emerging Research Frontiers

inferred← citeshttps://doi.org/10.1109/iciss59129.2023.10291631openalex-snapshot

Smart Healthcare for Personalized Healthcare: Literature Review

inferred← citeshttps://doi.org/10.1109/icocwc60930.2024.10470761openalex-snapshot

Retracted: Privacy and Security Issues in Mobile Communication Systems

inferred← citeshttps://doi.org/10.1109/icoici65217.2025.11254186openalex-snapshot

Improving Disease Diagnosis Precision Through Federated Learning: An In-Depth Analysis of Heart and Diabetes Prediction

inferred← citeshttps://doi.org/10.1109/icosst64562.2024.10871154openalex-snapshot

Federated Learning for Enhanced Intrusion Detection in Smart City Environments

inferred← citeshttps://doi.org/10.1109/icstcc62912.2024.10744688openalex-snapshot

Empowering Smart Cities through Federated Learning An Overview

inferred← citeshttps://doi.org/10.1109/ijcnn54540.2023.10191843openalex-snapshot

MVMAFOL: A Multi-Access Three-Layer Federated Online Learning Algorithm for Internet of Vehicles

inferred← citeshttps://doi.org/10.1109/jas.2024.124215openalex-snapshot

A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends

inferred← citeshttps://doi.org/10.1109/jetcas.2024.3463738openalex-snapshot

Re_useVFL: Reuse of Parameters-Based Verifiable Federated Learning with Privacy Preservation Using Gradient Sparsification

inferred← citeshttps://doi.org/10.1109/jiot.2024.3364247openalex-snapshot

Blockchain-Inspired Collaborative Cyber-Attacks Detection for Securing Metaverse

inferred← citeshttps://doi.org/10.1109/jiot.2024.3400389openalex-snapshot

Two-Phase Sparsification With Secure Aggregation for Privacy-Aware Federated Learning

inferred← citeshttps://doi.org/10.1109/jiot.2025.3561022openalex-snapshot

THC-DL: Three-Party Homomorphic Computing Delegation Learning for Secure Optimization

inferred← citeshttps://doi.org/10.1109/jsen.2025.3544861openalex-snapshot

TinyFL_HKD: Enhancing Edge AI Federated Learning With Hierarchical Knowledge Distillation Framework

inferred← citeshttps://doi.org/10.1109/msn60784.2023.00082openalex-snapshot

A Hypernetwork-based Personalized Federated Learning Framework for Encrypted Traffic Classification

inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3449563openalex-snapshot

Federated Learning for Enhanced Cybersecurity and Trustworthiness in 5G and 6G Networks: A Comprehensive Survey

inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3506214openalex-snapshot

Federated Learning for IoT: Applications, Trends, Taxonomy, Challenges, Current Solutions, and Future Directions

inferred← citeshttps://doi.org/10.1109/tce.2025.3603592openalex-snapshot

FM 2 Learning: LLM-Based Federated Multi-Task Multi-Domain Learning for Consumer Electronics and IoT Enhancement

inferred← citeshttps://doi.org/10.1109/tce.2026.3668091openalex-snapshot

Coalition-Based Personalized Federated Learning for Data-Heterogeneous Internet of Vehicles

inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3408463openalex-snapshot

FedMDO: Privacy-Preserving Federated Learning via Mixup Differential Objective

inferred← citeshttps://doi.org/10.1109/tetc.2024.3474484openalex-snapshot

FedRDF: A Robust and Dynamic Aggregation Function Against Poisoning Attacks in Federated Learning

inferred← citeshttps://doi.org/10.1109/tifs.2025.3575582openalex-snapshot

Sign-Based Distributed Learning With Byzantine Resilience Based on Audit Mechanism

inferred← citeshttps://doi.org/10.1109/tkde.2024.3447123openalex-snapshot

Continual Learning for Smart City: A Survey

inferred← citeshttps://doi.org/10.1109/tmc.2025.3625654openalex-snapshot

Enhancing Federated Learning in Edge Computing With Secure Aggregation and Dynamic Verification

inferred← citeshttps://doi.org/10.1109/tnnls.2025.3563537openalex-snapshot

Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and Challenges

inferred← citeshttps://doi.org/10.1109/tnse.2025.3611109openalex-snapshot

Teleportation Links: Mitigating Catastrophic Forgetting in Decentralized Federated Learning

inferred← citeshttps://doi.org/10.1109/tpami.2025.3527137openalex-snapshot

Robust Asymmetric Heterogeneous Federated Learning With Corrupted Clients

inferred← citeshttps://doi.org/10.1109/tsc.2024.3399653openalex-snapshot

Long-Term Proof-of-Contribution: An Incentivized Consensus Algorithm for Blockchain-Enabled Federated Learning

inferred← citeshttps://doi.org/10.1109/tsc.2024.3520833openalex-snapshot

An Efficient Replication-Based Aggregation Verification and Correctness Assurance Scheme for Federated Learning

inferred← citeshttps://doi.org/10.1142/s0129156425403201openalex-snapshot

Security Sharing Method of University Ideological and Political Education Resources Based on Internet of Things

inferred← citeshttps://doi.org/10.1145/3666089openalex-snapshot

Survey of Federated Learning Models for Spatial-Temporal Mobility Applications

inferred← citeshttps://doi.org/10.1145/3754598.3754618openalex-snapshot

Heterogeneity-aware Federated Edge Learning via UAV Sampling and D2D Communications

inferred← citeshttps://doi.org/10.2139/ssrn.5173628openalex-snapshot

Fed-$K^*$-Hc: Federated Hierarchical Clustering of Imbalanced Data with Automatic Selection of Optimal Cluster Numbers

inferred← citeshttps://doi.org/10.2139/ssrn.6018076openalex-snapshot

Cost-Constrained Incentive Mechanism for Federated Learning

inferred← citeshttps://doi.org/10.2174/9789815324693125040011openalex-snapshot

Opportunities and Security Issues in Communication Engineering Using Generative AI

inferred← citeshttps://doi.org/10.22399/ijcesen.5292openalex-snapshot

Adaptive Coverage Optimization in Wireless Sensor Networks Using Hybrid Artificial Hummingbird Algorithm with Differential Evolution

inferred← citeshttps://doi.org/10.29121/shodhkosh.v7.i2s.2026.7267openalex-snapshot

VISUAL ANALYTICS OF SMART CITY IOT: A FEDERATED MULTI-AGENT APPROACH TO SCALABLE AND PRIVACY-PRESERVING DATA SYSTEMS

inferred← citeshttps://doi.org/10.29194/njes.29020301openalex-snapshot

Towards Next-Generation Autonomous Vehicle Communication in Smart Cities: A Blockchain and AI Perspective

inferred← citeshttps://doi.org/10.32604/cmc.2023.041897openalex-snapshot

Multi-Robot Privacy-Preserving Algorithms Based on Federated Learning: A Review

inferred← citeshttps://doi.org/10.32604/cmes.2024.053434openalex-snapshot

MV-Honeypot: Security Threat Analysis by Deploying Avatar as a Honeypot in COTS Metaverse Platforms

inferred← citeshttps://doi.org/10.32604/jai.2024.049912openalex-snapshot

Design Pattern and Challenges of Federated Learning with Applications in Industrial Control System

inferred← citeshttps://doi.org/10.3389/fbuil.2025.1696702openalex-snapshot

Decentralized intelligence in SBs: Federated LSTM-powered digital twins for sustainability

inferred← citeshttps://doi.org/10.3389/fimag.2026.1966936openalex-snapshot

Differentially private federated learning for image analysis in smart-city surveillance

inferred← citeshttps://doi.org/10.3390/app14072720openalex-snapshot

Communication Efficiency and Non-Independent and Identically Distributed Data Challenge in Federated Learning: A Systematic Mapping Study

inferred← citeshttps://doi.org/10.3390/computers14040124openalex-snapshot

Advances in Federated Learning: Applications and Challenges in Smart Building Environments and Beyond

inferred← citeshttps://doi.org/10.3390/electronics12194074openalex-snapshot

A Fog-Based Privacy-Preserving Federated Learning System for Smart Healthcare Applications

inferred← citeshttps://doi.org/10.3390/math11143093openalex-snapshot

Towards Efficient and Trustworthy Pandemic Diagnosis in Smart Cities: A Blockchain-Based Federated Learning Approach

inferred← citeshttps://doi.org/10.3390/math12162479openalex-snapshot

EVFL: Towards Efficient Verifiable Federated Learning via Parameter Reuse and Adaptive Sparsification

inferred← citeshttps://doi.org/10.3390/s23167302openalex-snapshot

Federated Transfer Learning Strategy: A Novel Cross-Device Fault Diagnosis Method Based on Repaired Data

inferred← citeshttps://doi.org/10.35377/saucis...1755063openalex-snapshot

ZkPSLB: Zero-Knowledge Proof-Empowered End-to-End Secured Lightweight Blockchain Framework For Smart Cities

inferred← citeshttps://doi.org/10.4018/979-8-3373-3306-9.ch005openalex-snapshot

Collaborative Health Intelligence

inferred← citeshttps://doi.org/10.4018/979-8-3373-3576-6.ch005openalex-snapshot

Federated Learning for Privacy-Preserving Security in Wireless Networks

inferred← citeshttps://doi.org/10.4018/979-8-3373-4455-3.ch005openalex-snapshot

Cybersecurity at the Edge

inferred← citeshttps://doi.org/10.5433/1679-0375.2026.v47.53937openalex-snapshot

A Comparative Study of Federated Learning Frameworks for IoT-Driven Smart Cities

inferred← citeshttps://doi.org/10.56977/jicce.2025.23.2.113openalex-snapshot

Information Protection Model for Smart Homes Based on Federated Learning

inferred← citeshttps://doi.org/10.5772/intechopen.1015368openalex-snapshot

Federated Learning: A Comprehensive Review of Methods, Challenges, Applications and Trends

inferred← citeshttps://doi.org/10.61356/smij.2024.77106openalex-snapshot

Synergizing AI, IoT, and Blockchain for Diagnosing Pandemic Diseases in Smart Cities: Challenges and Opportunities

inferred← citeshttps://doi.org/10.7759/s44389-025-03870-4openalex-snapshot

Security of Quantum Federated Machine Learning With Blockchain for Electronics Health Records

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.