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From distributed machine learning to federated learning: In the view of data privacy and security

https://doi.org/10.1002/cpe.6002
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What this work says

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

inferredcites →https://doi.org/10.1002/ecjc.4430720906openalex-snapshot
Secret sharing scheme realizing general access structure
inferredcites →https://doi.org/10.1007/11681878_14openalex-snapshot
Calibrating Noise to Sensitivity in Private Data Analysis
inferredcites →https://doi.org/10.1007/3-540-45539-6_22openalex-snapshot
General Secure Multi-party Computation from any Linear Secret-Sharing Scheme
inferredcites →https://doi.org/10.1007/3-540-46766-1_37openalex-snapshot
Shared generation of authenticators and signatures
inferredcites →https://doi.org/10.1007/978-3-030-43823-4_27openalex-snapshot
Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning
inferredcites →https://doi.org/10.1007/978-3-642-14303-8openalex-snapshot
Efficient Secure Two-Party Protocols: Techniques and Constructions
inferredcites →https://doi.org/10.1007/978-3-642-20901-7_2openalex-snapshot
Secret-Sharing Schemes: A Survey
inferredcites →https://doi.org/10.1109/access.2019.2919736openalex-snapshot
Federated Learning-Based Computation Offloading Optimization in Edge Computing-Supported Internet of Things
inferredcites →https://doi.org/10.1109/comst.2020.2986024openalex-snapshot
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/csf.2018.00027openalex-snapshot
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/globecom38437.2019.9013587openalex-snapshot
Energy Demand Prediction with Federated Learning for Electric Vehicle Networks
inferredcites →https://doi.org/10.1109/glocom.2018.8647616openalex-snapshot
Federated Learning Based Proactive Content Caching in Edge Computing
inferredcites →https://doi.org/10.1109/icdcs.2019.00080openalex-snapshot
DÏoT: A Federated Self-learning Anomaly Detection System for IoT
inferredcites →https://doi.org/10.1109/jiot.2016.2579198openalex-snapshot
Edge Computing: Vision and Challenges
inferredcites →https://doi.org/10.1109/mark.1979.8817296openalex-snapshot
Safeguarding cryptographic keys
inferredcites →https://doi.org/10.1109/mcom.2018.1700332openalex-snapshot
Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing
inferredcites →https://doi.org/10.1109/mnet.2019.1800286openalex-snapshot
In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning
inferredcites →https://doi.org/10.1109/sfcs.1982.38openalex-snapshot
Protocols for secure computations
inferredcites →https://doi.org/10.1109/sp.2017.41openalex-snapshot
Membership Inference Attacks Against Machine Learning Models
inferredcites →https://doi.org/10.1109/sp.2019.00029openalex-snapshot
Exploiting Unintended Feature Leakage in Collaborative Learning
inferredcites →https://doi.org/10.1109/sp.2019.00065openalex-snapshot
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
inferredcites →https://doi.org/10.1109/spw.2015.27openalex-snapshot
Decentralizing Privacy: Using Blockchain to Protect Personal Data
inferredcites →https://doi.org/10.1109/spw.2019.00021openalex-snapshot
Membership Inference Attacks Against Adversarially Robust Deep Learning Models
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/tii.2019.2942190openalex-snapshot
Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT
inferredcites →https://doi.org/10.1109/tkde.2020.3014246openalex-snapshot
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
inferredcites →https://doi.org/10.1109/trustcom/bigdatase.2019.00057openalex-snapshot
Poisoning Attack in Federated Learning using Generative Adversarial Nets
inferredcites →https://doi.org/10.1109/worldcis.2013.6751020openalex-snapshot
Practical fully homomorphic encryption over polynomial quotient rings
inferredcites →https://doi.org/10.1145/1536414.1536440openalex-snapshot
Fully homomorphic encryption using ideal lattices
inferredcites →https://doi.org/10.1145/1866739.1866758openalex-snapshot
A firm foundation for private data analysis
inferredcites →https://doi.org/10.1145/2976749.2978318openalex-snapshot
Deep Learning with Differential Privacy
inferredcites →https://doi.org/10.1145/3133956.3133982openalex-snapshot
Practical Secure Aggregation for Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1145/3298981openalex-snapshot
Federated Machine Learning
inferredcites →https://doi.org/10.1145/3335741.3335756openalex-snapshot
Completeness theorems for non-cryptographic fault-tolerant distributed computation
inferredcites →https://doi.org/10.1145/3338466.3358926openalex-snapshot
PrivFL
inferredcites →https://doi.org/10.1145/359168.359176openalex-snapshot
How to share a secret
inferredcites →https://doi.org/10.1146/annurev-statistics-060116-054123openalex-snapshot
Exposed! A Survey of Attacks on Private Data
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.48550/arxiv.1407.1338openalex-snapshot
Extremal Mechanisms for Local Differential Privacy

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cpe.70411openalex-snapshot
Privacy‐Preserving Hierarchical Federated Learning With Front‐Loaded Differential Privacy Mechanism
inferred← citeshttps://doi.org/10.1002/cpe.7429openalex-snapshot
LDP‐Fed+: A robust and privacy‐preserving federated learning based classification framework enabled by local differential privacy
inferred← citeshttps://doi.org/10.1002/cpe.8263openalex-snapshot
Enhanced multi‐key privacy‐preserving distributed deep learning protocol with application to diabetic retinopathy diagnosis
inferred← citeshttps://doi.org/10.1002/spe.3300openalex-snapshot
FLight: A lightweight federated learning framework in edge and fog computing
inferred← citeshttps://doi.org/10.1002/spe.70071openalex-snapshot
QSFedMA: Quantum‐Secured Authentication Protocol for Privacy‐Preserving Federated IoMT
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/10.1007/978-3-032-13485-1_58openalex-snapshot
Ethical AI Frameworks for Gender-Sensitive Alerts in Women’s Compartments: Ensuring Privacy, Mitigating Bias, and Building Public Trust
inferred← citeshttps://doi.org/10.1007/978-3-032-19852-5_8openalex-snapshot
On-Device Machine Learning and Artificial Intelligence as Strategies for Preventing Mobile Device Theft: A Systematic Study
inferred← citeshttps://doi.org/10.1007/978-981-96-2417-1_23openalex-snapshot
Integrating CP-ABE and Device Fingerprint Into Federated Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-7121-2_4openalex-snapshot
Decentralising AI: Can Blockchain Technology Solve Data Privacy Challenges in Machine Learning?
inferred← citeshttps://doi.org/10.1007/978-981-97-3973-8_11openalex-snapshot
A Review on Privacy Enhanced Distributed ML Against Poisoning Attacks
inferred← citeshttps://doi.org/10.1007/s00500-021-06496-5openalex-snapshot
Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey
inferred← citeshttps://doi.org/10.1007/s00521-025-11289-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00521-026-12383-7openalex-snapshot
Collaborative encryption-based machine learning model training method and data protection software system construction
inferred← citeshttps://doi.org/10.1007/s10115-023-01869-8openalex-snapshot
Migrating federated learning to centralized learning with the leverage of unlabeled data
inferred← citeshttps://doi.org/10.1007/s10207-026-01268-4openalex-snapshot
An explainable privacy-preserving method for mobile malware detection through federated machine learning
inferred← citeshttps://doi.org/10.1007/s10489-024-06046-0openalex-snapshot
Federated edge learning for medical image augmentation
inferred← citeshttps://doi.org/10.1007/s10489-024-06123-4openalex-snapshot
HFedCWA: heterogeneous federated learning algorithm based on contribution-weighted aggregation
inferred← citeshttps://doi.org/10.1007/s10722-024-02083-3openalex-snapshot
Federated learning methods for collaborative multiclass classification of dry beans
inferred← citeshttps://doi.org/10.1007/s11704-021-0598-zopenalex-snapshot
Challenges and future directions of secure federated learning: a survey
inferred← citeshttps://doi.org/10.1007/s12559-024-10327-8openalex-snapshot
Internet of Things for Emotion Care: Advances, Applications, and Challenges
inferred← citeshttps://doi.org/10.1007/s44443-025-00256-3openalex-snapshot
DMAFL: Effective defense against malicious attacker federated learning framework via blockchain and TFHE
inferred← citeshttps://doi.org/10.1016/b978-0-443-33789-5.00024-8openalex-snapshot
A collaborated federated learning for healthcare informatics: solution and challenges
inferred← citeshttps://doi.org/10.1016/j.array.2026.100940openalex-snapshot
A 5G-enabled edge–cloud collaborative framework for anomaly detection in industrial compressor PLC data
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112043openalex-snapshot
Federated regressive learning: Adaptive weight updates through statistical information of clients
inferred← citeshttps://doi.org/10.1016/j.atech.2024.100487openalex-snapshot
A comprehensive review on smart and sustainable agriculture using IoT technologies
inferred← citeshttps://doi.org/10.1016/j.comnet.2023.109650openalex-snapshot
Federated learning using game strategies: State-of-the-art and future trends
inferred← citeshttps://doi.org/10.1016/j.envres.2026.123853openalex-snapshot
Applications of machine learning-based quantitative structure activity relationship (ML-QSAR) models in environmental science
inferred← citeshttps://doi.org/10.1016/j.future.2023.11.009openalex-snapshot
Anonymous Federated Learning via Named-Data Networking
inferred← citeshttps://doi.org/10.1016/j.future.2026.108707openalex-snapshot
MetaCS-FL: A metaheuristic-based framework for client selection in federated learning systems
inferred← citeshttps://doi.org/10.1016/j.icte.2025.12.008openalex-snapshot
Unmanned Aerial Vehicles-based blockchain-inspired Intelligent framework for collaborative intrusion detection
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104446openalex-snapshot
Federated learning with context-aware client collaboration: Challenges, advances, and open problems
inferred← citeshttps://doi.org/10.1016/j.jbi.2025.104895openalex-snapshot
Multimodal large language models for medical image diagnosis: Challenges and opportunities
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114315openalex-snapshot
Federated learning with integration of decision making method and various machine learning algorithms for Alzheimer’s prediction
inferred← citeshttps://doi.org/10.1016/j.marpol.2024.106081openalex-snapshot
Ocean governance in practice: A study of the application of marine science and technology research techniques to maritime law enforcement in Taiwan
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.132828openalex-snapshot
Unpacking distributed machine learning: A unified taxonomy, formal foundations, and the rise of emerging paradigms
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107874openalex-snapshot
Linkage on security, privacy and fairness in federated learning: New balances and new perspectives
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.107849openalex-snapshot
A comprehensive survey on energy-efficient and privacy-preserving federated learning for edge intelligence and IoT
inferred← citeshttps://doi.org/10.1016/j.suscom.2026.101354openalex-snapshot
Reliable and privacy-preserving collaborative AI in multi-tier distributed architectures
inferred← citeshttps://doi.org/10.1038/s41598-025-95858-2openalex-snapshot
Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity
inferred← citeshttps://doi.org/10.1038/s41598-025-96468-8openalex-snapshot
A robust and personalized privacy-preserving approach for adaptive clustered federated distillation
inferred← citeshttps://doi.org/10.1080/08839514.2023.2222494openalex-snapshot
Distributed Intelligent Model for Privacy and Secrecy in Preschool Education
inferred← citeshttps://doi.org/10.1080/23311932.2026.2690308openalex-snapshot
Secure and scalable federated learning for citrus disease detection with CNN-ANN and data privacy for agriculture
inferred← citeshttps://doi.org/10.1109/access.2022.3188808openalex-snapshot
F-CBR: An Architecture for Federated Case-Based Reasoning
inferred← citeshttps://doi.org/10.1109/access.2023.3339750openalex-snapshot
Efficient Data Collaboration Using Multi-Party Privacy Preserving Machine Learning Framework
inferred← citeshttps://doi.org/10.1109/access.2024.3388992openalex-snapshot
Secure Multi-Party Computation for Machine Learning: A Survey
inferred← citeshttps://doi.org/10.1109/access.2026.3719455openalex-snapshot
FedMSIS-BiDir: Federated Self-Training With Temporal Pseudo-Label Refinement for Object Detection
inferred← citeshttps://doi.org/10.1109/bmsb58369.2023.10211175openalex-snapshot
A Machine Learning Based Computing Node Selection Algorithm
inferred← citeshttps://doi.org/10.1109/cloudnet59005.2023.10490073openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/csce60160.2023.00024openalex-snapshot
Performance Evaluation of Federated Learning for Anomaly Network Detection
inferred← citeshttps://doi.org/10.1109/cscwd54268.2022.9776309openalex-snapshot
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A Federated Learning Framework Based on CSP Homomorphic Encryption
inferred← citeshttps://doi.org/10.1109/etai68332.2026.11485489openalex-snapshot
FedPIM: A Multi-Strategy Improved Federated Learning Algorithm for Medical Data Privacy Protection
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inferred← citeshttps://doi.org/10.1109/icasst68917.2026.11484507openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iciscois56541.2023.10100577openalex-snapshot
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PFED-AGG: A Personalized Private Federated Learning Aggregation Algorithm
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QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model
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inferred← citeshttps://doi.org/10.1109/spet67577.2025.11335423openalex-snapshot
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Federated Domain Separation for Distributed Forecasting of Non-IID Household Loads
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inferred← citeshttps://doi.org/10.1145/3468218.3469044openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3474374.3486915openalex-snapshot
The More, the Better
inferred← citeshttps://doi.org/10.1145/3689236.3696749openalex-snapshot
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A Normative Approach to Privacy‐Preserving Recommender Systems: Integrating Matrix Factorization and Genetic Algorithms
inferred← citeshttps://doi.org/10.2174/1872212117666230112110257openalex-snapshot
A Study of Federated Learning with Internet of Things for Data Privacy and Security using Privacy Preserving Techniques
inferred← citeshttps://doi.org/10.2174/9798898810870125010010openalex-snapshot
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inferred← citeshttps://doi.org/10.22581/muet1982.2954openalex-snapshot
Crowdsourced data leaking user's privacy while using anonymization technique
inferred← citeshttps://doi.org/10.23919/cje.2025.00.347openalex-snapshot
Integration of Artificial Intelligence with Real-Time IoT Based Distributed Edge-Cloud Frameworks: Applications, Challenges, and Solutions
inferred← citeshttps://doi.org/10.3233/ds-210036openalex-snapshot
A systematic review on privacy-preserving distributed data mining
inferred← citeshttps://doi.org/10.32604/cmes.2024.048932openalex-snapshot
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inferred← citeshttps://doi.org/10.32604/cmes.2024.056500openalex-snapshot
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inferred← citeshttps://doi.org/10.3389/fmars.2023.1258924openalex-snapshot
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inferred← citeshttps://doi.org/10.3389/fmed.2026.1687773openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/ai7010015openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/app13106201openalex-snapshot
A Comprehensive Survey on Privacy-Preserving Techniques in Federated Recommendation Systems
inferred← citeshttps://doi.org/10.3390/electronics12051250openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/en14123654openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/fi15110371openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/informatics13060088openalex-snapshot
Adaptive Trust-Aware Encrypted Federated Artificial Intelligence with Blockchain Auditability for Multicenter Biomedical Signal and Medical Image Analysis
inferred← citeshttps://doi.org/10.3390/jsan14010009openalex-snapshot
Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications
inferred← citeshttps://doi.org/10.3390/math11010151openalex-snapshot
Federated Learning for the Internet-of-Medical-Things: A Survey
inferred← citeshttps://doi.org/10.3390/math12081148openalex-snapshot
Communication-Efficient Zeroth-Order Adaptive Optimization for Federated Learning
inferred← citeshttps://doi.org/10.3390/s26123901openalex-snapshot
Privacy-Preserving Federated Deep Learning for Robust Anomaly Detection in Distributed Security Sensing Systems
inferred← citeshttps://doi.org/10.4018/jgim.332815openalex-snapshot
Personal Information Protection in Government Data Openness Using Decision Tree Model
inferred← citeshttps://doi.org/10.69709/caic.2024.100109openalex-snapshot
Distributed Reinforcement Learning for IoT Security in Heterogeneous and Distributed Networks
inferred← citeshttps://doi.org/10.70675/46106385z2a7ez4957zb59dza9ba0e50caecopenalex-snapshot
Multi-FedLS : A Scheduler of Federated Learning Applications in a Multi-Cloud Environment
inferred← citeshttps://doi.org/10.7717/peerj-cs.1657openalex-snapshot
Integration of federated learning with IoT for smart cities applications, challenges, and solutions
inferred← citeshttps://doi.org/10.7717/peerj-cs.3589openalex-snapshot
A secure cross-domain federated learning scheme based on blockchain fair payment
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