On the public citation graph
When Federated Learning Meets Privacy-Preserving Computation
0 signed · 337 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11681878_14openalex-snapshot
Calibrating Noise to Sensitivity in Private Data Analysis
inferredcites →https://doi.org/10.1007/978-3-030-63076-8_2openalex-snapshot
Deep Leakage from Gradients
inferredcites →https://doi.org/10.1007/978-3-319-10082-1openalex-snapshot
Foundations of Security Analysis and Design VII
inferredcites →https://doi.org/10.1007/978-3-319-57959-7openalex-snapshot
The EU General Data Protection Regulation (GDPR)
inferredcites →https://doi.org/10.1007/s00287-019-01205-xopenalex-snapshot
A Hybrid Approach to Privacy-Preserving Federated Learning
inferredcites →https://doi.org/10.1007/s11356-022-22772-9openalex-snapshot
Analysing the influence of foreign direct investment and urbanization on the development of private financial system and its ecological footprint
inferredcites →https://doi.org/10.1016/0004-3702(96)00007-0openalex-snapshot
Artificial intelligence: A modern approach
inferredcites →https://doi.org/10.1016/j.clsr.2013.07.010openalex-snapshot
The Singapore Personal Data Protection Act and an assessment of future trends in data privacy reform
inferredcites →https://doi.org/10.1016/j.eng.2019.09.002openalex-snapshot
Privacy Computing: Concept, Computing Framework, and Future Development Trends
inferredcites →https://doi.org/10.1016/j.eng.2021.12.002openalex-snapshot
Federated Learning for 6G: Applications, Challenges, and Opportunities
inferredcites →https://doi.org/10.1016/j.inffus.2023.101824openalex-snapshot
Privacy protection in intelligent vehicle networking: A novel federated learning algorithm based on information fusion
inferredcites →https://doi.org/10.1016/j.jii.2024.100593openalex-snapshot
Industrial blockchain threshold signatures in federated learning for unified space-air-ground-sea model training
inferredcites →https://doi.org/10.1038/s41467-023-38569-4openalex-snapshot
Decentralized federated learning through proxy model sharing
inferredcites →https://doi.org/10.1038/s41586-021-03583-3openalex-snapshot
Swarm Learning for decentralized and confidential clinical machine learning
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/comst.2020.3011561openalex-snapshot
When Machine Learning Meets Privacy in 6G: A Survey
inferredcites →https://doi.org/10.1109/comst.2021.3108618openalex-snapshot
Security and Privacy for 6G: A Survey on Prospective Technologies and Challenges
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/icc.1995openalex-snapshot
Proceedings IEEE International Conference on Communications ICC '95
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.2020.3017377openalex-snapshot
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices
inferredcites →https://doi.org/10.1109/jsac.2021.3126052openalex-snapshot
Low-Latency Federated Learning Over Wireless Channels With Differential Privacy
inferredcites →https://doi.org/10.1109/mce.2019.2959108openalex-snapshot
Preserving Data Privacy via Federated Learning: Challenges and Solutions
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/mwc.001.1900119openalex-snapshot
Reliable Federated Learning for Mobile Networks
inferredcites →https://doi.org/10.1109/secpri.2002openalex-snapshot
Proceedings 2002 IEEE Symposium on Security and Privacy
inferredcites →https://doi.org/10.1109/sfcs.1994openalex-snapshot
Proceedings 35th Annual Symposium on Foundations of Computer Science
inferredcites →https://doi.org/10.1109/tc.2021.3072033openalex-snapshot
BAFL: A Blockchain-Based Asynchronous Federated Learning Framework
inferredcites →https://doi.org/10.1109/tdsc.2019.2952332openalex-snapshot
DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-based Incentive
inferredcites →https://doi.org/10.1109/tdsc.2020.2986205openalex-snapshot
Shielding Collaborative Learning: Mitigating Poisoning Attacks through Client-Side Detection
inferredcites →https://doi.org/10.1109/tdsc.2020.3026631openalex-snapshot
Achieve Efficient and Privacy-Preserving Disease Risk Assessment Over Multi-Outsourced Vertical Datasets
inferredcites →https://doi.org/10.1109/tdsc.2022.3233519openalex-snapshot
A Temporal Chrominance Trigger for Clean-Label Backdoor Attack Against Anti-Spoof Rebroadcast Detection
inferredcites →https://doi.org/10.1109/tetc.2020.2974183openalex-snapshot
Lightweight Privacy-Preserving Raw Data Publishing Scheme
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.2019.2929409openalex-snapshot
VerifyNet: Secure and Verifiable Federated Learning
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/tifs.2020.3043139openalex-snapshot
VeriFL: Communication-Efficient and Fast Verifiable Aggregation for Federated Learning
inferredcites →https://doi.org/10.1109/tifs.2021.3108434openalex-snapshot
Privacy-Enhanced Federated Learning Against Poisoning Adversaries
inferredcites →https://doi.org/10.1109/tifs.2022.3176191openalex-snapshot
PVD-FL: A Privacy-Preserving and Verifiable Decentralized Federated Learning Framework
inferredcites →https://doi.org/10.1109/tifs.2022.3221899openalex-snapshot
LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing
inferredcites →https://doi.org/10.1109/tifs.2023.3329426openalex-snapshot
Universal Detection of Backdoor Attacks via Density-Based Clustering and Centroids Analysis
inferredcites →https://doi.org/10.1109/tii.2020.3007817openalex-snapshot
A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks
inferredcites →https://doi.org/10.1109/tits.2021.3081560openalex-snapshot
Privacy-Preserved Federated Learning for Autonomous Driving
inferredcites →https://doi.org/10.1109/tpds.2020.3044223openalex-snapshot
Biscotti: A Blockchain System for Private and Secure Federated Learning
inferredcites →https://doi.org/10.1109/tpds.2021.3056773openalex-snapshot
Proof of Federated Learning: A Novel Energy-Recycling Consensus Algorithm
inferredcites →https://doi.org/10.1109/trustcom.2015.357openalex-snapshot
Trusted Execution Environment: What It is, and What It is Not
inferredcites →https://doi.org/10.1109/tsc.2019.2897554openalex-snapshot
Demystifying Membership Inference Attacks in Machine Learning as a Service
inferredcites →https://doi.org/10.1137/0218012openalex-snapshot
The Knowledge Complexity of Interactive Proof Systems
inferredcites →https://doi.org/10.1145/116825.116852openalex-snapshot
Proofs that yield nothing but their validity or all languages in NP have zero-knowledge proof systems
inferredcites →https://doi.org/10.1145/1755913openalex-snapshot
Proceedings of the 5th European conference on Computer systems
inferredcites →https://doi.org/10.1145/2810103.2813677openalex-snapshot
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
inferredcites →https://doi.org/10.1145/2810103.2813687openalex-snapshot
Privacy-Preserving Deep Learning
inferredcites →https://doi.org/10.1145/2810103.2813705openalex-snapshot
Fast and Secure Three-party Computation
inferredcites →https://doi.org/10.1145/2976749openalex-snapshot
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
inferredcites →https://doi.org/10.1145/3128572.3140450openalex-snapshot
Mitigating Poisoning Attacks on Machine Learning Models
inferredcites →https://doi.org/10.1145/3214303openalex-snapshot
A Survey on Homomorphic Encryption Schemes
inferredcites →https://doi.org/10.1145/3243734openalex-snapshot
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security
inferredcites →https://doi.org/10.1145/3313831openalex-snapshot
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
inferredcites →https://doi.org/10.1145/3316781openalex-snapshot
Proceedings of the 56th Annual Design Automation Conference 2019
inferredcites →https://doi.org/10.1145/3335741openalex-snapshot
Providing Sound Foundations for Cryptography: On the Work of Shafi Goldwasser and Silvio Micali
inferredcites →https://doi.org/10.1145/3372297openalex-snapshot
Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security
inferredcites →https://doi.org/10.1145/3411501openalex-snapshot
Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice
inferredcites →https://doi.org/10.1145/3460120.3485379openalex-snapshot
zkCNN: Zero Knowledge Proofs for Convolutional Neural Network Predictions and Accuracy
inferredcites →https://doi.org/10.1145/3498361openalex-snapshot
Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services
inferredcites →https://doi.org/10.1145/3551636openalex-snapshot
A Comprehensive Survey on Poisoning Attacks and Countermeasures in Machine Learning
inferredcites →https://doi.org/10.1145/3571156openalex-snapshot
A Comprehensive Review of the State-of-the-Art on Security and Privacy Issues in Healthcare
inferredcites →https://doi.org/10.1145/3579856.3590327openalex-snapshot
BFU: Bayesian Federated Unlearning with Parameter Self-Sharing
inferredcites →https://doi.org/10.14722/ndss.2018openalex-snapshot
Proceedings 2018 Network and Distributed System Security Symposium
inferredcites →https://doi.org/10.14722/ndss.2020.23005openalex-snapshot
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning
inferredcites →https://doi.org/10.14722/ndss.2024.24512openalex-snapshot
Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption
inferredcites →https://doi.org/10.1504/ijsn.2015.071829openalex-snapshot
Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers
inferredcites →https://doi.org/10.24963/ijcai.2021/217openalex-snapshot
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy
inferredcites →https://doi.org/10.4135/9781412952644.n199openalex-snapshot
Health Insurance Portability and Accountability Act
inferredcites →https://doi.org/10.4135/9781483365817.n660openalex-snapshot
Health Insurance Portability and Accountability Act
inferredcites →https://doi.org/10.4324/9780429305634openalex-snapshot
Secure Communications And Asymmetric Cryptosystems
inferredcites →https://doi.org/10.48550/arxiv.1805.07337openalex-snapshot
Reconstruction of training samples from loss functions
inferredcites →https://doi.org/10.48550/arxiv.1808.04866openalex-snapshot
Mitigating Sybils in Federated Learning Poisoning
inferredcites →https://doi.org/10.48550/arxiv.1812.03224openalex-snapshot
A Hybrid Approach to Privacy-Preserving Federated Learning
inferredcites →https://doi.org/10.48550/arxiv.1902.01046openalex-snapshot
Towards Federated Learning at Scale: System Design
inferredcites →https://doi.org/10.48550/arxiv.1907.12205openalex-snapshot
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
inferredcites →https://doi.org/10.48550/arxiv.2001.02610openalex-snapshot
iDLG: Improved Deep Leakage from Gradients
inferredcites →https://doi.org/10.48550/arxiv.2003.02133openalex-snapshot
Threats to Federated Learning: A Survey
inferredcites →https://doi.org/10.48550/arxiv.2003.14053openalex-snapshot
Inverting Gradients -- How easy is it to break privacy in federated learning?
inferredcites →https://doi.org/10.48550/arxiv.2007.02977openalex-snapshot
Sharing Models or Coresets: A Study based on Membership Inference Attack
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.70076openalex-snapshot
Multiuser Hierarchical Authorization Using Sparsity Polarization Pruning for Model Active Protection
inferred← citeshttps://doi.org/10.1007/978-3-031-94855-8_23openalex-snapshot
Threshold Multiparty Private Set Intersection via Federated Graph Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-032-00232-7_19openalex-snapshot
Arabic Named Entity Recognition Based on a Deep Learning Multi-Task Model
inferred← citeshttps://doi.org/10.1007/978-3-032-03705-3_10openalex-snapshot
A Centralized Federated Learning Framework with Security Aspects Against Byzantine and Sybil Attacks
inferred← citeshttps://doi.org/10.1007/978-3-032-04558-4_10openalex-snapshot
Small Transformer Architectures for Task Switching
inferred← citeshttps://doi.org/10.1007/978-3-032-28379-5_28openalex-snapshot
A Systematic Analysis of Learning Methods for Privacy Preservation in IoT Environments
inferred← citeshttps://doi.org/10.1007/978-3-032-39708-9_2openalex-snapshot
Federated Generative AI for Privacy-Preserving Large-Scale Model Training at the Edge
inferred← citeshttps://doi.org/10.1007/978-981-95-4142-3_29openalex-snapshot
Blockchain Governance and Adaptive Incentive Mechanisms in Federated Learning
inferred← citeshttps://doi.org/10.1007/978-981-95-7820-7_18openalex-snapshot
Multi-authority Attribute-Based Access Control with Dynamic Policy Updates for Federated Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-0814-0_16openalex-snapshot
UFL: Unlinkable Federated Learning Through Shuffle and Shamir’s Secret Sharing
inferred← citeshttps://doi.org/10.1007/978-981-96-8197-6_8openalex-snapshot
E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented Generation
inferred← citeshttps://doi.org/10.1007/978-981-96-9872-1_19openalex-snapshot
Stealthy Backdoors in Vertical Federated Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-9875-2_26openalex-snapshot
FedVCP: Efficient Crowd Flow Prediction Employing Multi-source External Factors in Vertical Federated Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-9884-4_7openalex-snapshot
FedFews: Robust Federated Knowledge Distillation with Prototypes for Few-Shot Learning
inferred← citeshttps://doi.org/10.1007/s00521-025-11351-xopenalex-snapshot
Corpus machine translation system based on compaction algorithm and self-attention mechanism model
inferred← citeshttps://doi.org/10.1007/s10142-024-01462-4openalex-snapshot
Machine learning in oncological pharmacogenomics: advancing personalized chemotherapy
inferred← citeshttps://doi.org/10.1007/s10586-025-05250-yopenalex-snapshot
Harmony in federated learning: a comprehensive review of techniques to tackle heterogeneity and non-IID data
inferred← citeshttps://doi.org/10.1007/s10586-025-05557-wopenalex-snapshot
LLM-based program analysis for source codes, abstract syntax trees and webassembly instructions
inferred← citeshttps://doi.org/10.1007/s10586-025-05699-xopenalex-snapshot
Dynamic privacy budget allocation for enhanced differential privacy in federated learning
inferred← citeshttps://doi.org/10.1007/s10791-025-09627-wopenalex-snapshot
Genomic privacy and security in the era of artificial intelligence and quantum computing
inferred← citeshttps://doi.org/10.1007/s10994-025-06888-wopenalex-snapshot
DP-FedSecure: a secure and efficient federated learning scheme based on adaptive differential privacy
inferred← citeshttps://doi.org/10.1007/s11227-025-07523-0openalex-snapshot
A semi-asynchronous federated learning method integrating personalization and staleness awareness for traffic flow prediction in dynamic Internet of Vehicles
inferred← citeshttps://doi.org/10.1007/s11227-025-08112-xopenalex-snapshot
SELF: a multi-task learning framework for robust person-centric relation extraction
inferred← citeshttps://doi.org/10.1007/s12083-025-02155-wopenalex-snapshot
AFL-SecNet: An adaptive federated learning framework for secure and privacy-preserving network traffic analysis
inferred← citeshttps://doi.org/10.1007/s12083-025-02166-7openalex-snapshot
Securing remote computation with algebraic signature techniques in trusted execution environments
inferred← citeshttps://doi.org/10.1007/s12243-026-01188-3openalex-snapshot
Tamper-resistant contribution evaluation in privacy-preserving federated learning networks
inferred← citeshttps://doi.org/10.1007/s13042-025-02658-1openalex-snapshot
A framework for Chinese event semantic constraint predicates and their generation using PEFT LLM and RAG
inferred← citeshttps://doi.org/10.1007/s40998-026-01247-4openalex-snapshot
Point-based Spatio-temporal Convolution and Dual-channel Attention for Lightweight Multimodal Deepfake Detection
inferred← citeshttps://doi.org/10.1007/s43546-026-01161-1openalex-snapshot
Federated learning as an ethical framework for privacy-preserving customer segmentation in big data
inferred← citeshttps://doi.org/10.1016/b978-0-443-34109-0.00008-5openalex-snapshot
Foundations of cybersecurity and edge computing
inferred← citeshttps://doi.org/10.1016/j.adhoc.2025.103770openalex-snapshot
Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models
inferred← citeshttps://doi.org/10.1016/j.aej.2025.04.089openalex-snapshot
A disambiguation method for potential ambiguities in Chinese based on knowledge graphs and large language model
inferred← citeshttps://doi.org/10.1016/j.aquaculture.2025.743001openalex-snapshot
AquaMTL-chain: Advancing multi-task learning for event extraction in aquaculture
inferred← citeshttps://doi.org/10.1016/j.artmed.2025.103245openalex-snapshot
Privacy-preserving federated transfer learning for enhanced liver lesion segmentation in PET–CT imaging
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113561openalex-snapshot
A comparative trade-off analysis on accuracy and efficiency for federated learning in demand forecasting
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113965openalex-snapshot
A hybrid wind-PV power generation forecasting model based on uncertainty quantification
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106306openalex-snapshot
Core pixel activation: Improved road crack detector with multi-task training
inferred← citeshttps://doi.org/10.1016/j.bspc.2025.109167openalex-snapshot
Semi-supervised multi-task learning for interpretable quality assessment of fundus images
inferred← citeshttps://doi.org/10.1016/j.chaos.2025.117515openalex-snapshot
Federated learning-based regularized adversarial graph embedding for cross-social network user alignment
inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112209openalex-snapshot
FedCST: Reliable federated learning under clustered data distribution in industrial internet of things
inferred← citeshttps://doi.org/10.1016/j.compedu.2025.105554openalex-snapshot
Assessing mindset states of Hong Kong secondary students using machine learning in real-world online learning environment
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110640openalex-snapshot
Improving stance detection with an advanced multi-tree learning approach
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104492openalex-snapshot
SAFE-IDS: A privacy-preserving framework for overcoming non-IID challenges in federated intrusion detection
inferred← citeshttps://doi.org/10.1016/j.cscm.2025.e04245openalex-snapshot
Automatic GPR detection of grouting defects behind the tunnel shield segments based on wavelet coherence analysis combined with modified Res-RCNN
inferred← citeshttps://doi.org/10.1016/j.csi.2025.103990openalex-snapshot
Spanish MTLHateCorpus 2023: Multi-task learning for hate speech detection to identify speech type, target, target group and intensity
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.113357openalex-snapshot
Biologically-inspired two-pathway transformer network for image dehazing
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.113614openalex-snapshot
Federated learning for big data: A survey on opportunities, applications, and future directions
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.113857openalex-snapshot
An explainable framework for bias identification in text using transformer-based generative adversarial networks
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128102openalex-snapshot
Leveraging spatio-temporal multi-task learning for potential urban flow prediction in newly developed regions
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130455openalex-snapshot
FedCkic: A federated learning inference attack defense method based on centralized key agreement and integrity verification
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130570openalex-snapshot
DAG-Driven Optimization for heterogeneous federated learning based on fuzzy entropy and benders decomposition
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130979openalex-snapshot
A joint supervised and self-supervised learning framework for embryo image auto-focusing
inferred← citeshttps://doi.org/10.1016/j.foodres.2025.117731openalex-snapshot
Multi-target prediction in volatolomics with deep neural networks: Modeling volatile organic compounds produced by Brochothrix thermosphacta under modified atmospheres
inferred← citeshttps://doi.org/10.1016/j.fraope.2026.100490openalex-snapshot
A comprehensive survey of applications, techniques, threats, and security countermeasures in smart farming
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.102953openalex-snapshot
ATD Learning: A secure, smart, and decentralised learning method for big data environments
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103605openalex-snapshot
EFGDAS-MU: Efficient and fine-grained data aggregation scheme for multi-user in cloud-assisted IoT
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.104037openalex-snapshot
ConfShield: A dual-stage fusion framework for robust and privacy-enhancing federated learning in cloud environments
inferred← citeshttps://doi.org/10.1016/j.inpa.2025.11.002openalex-snapshot
Prediction of greenhouse temperature and humidity across growing seasons: Hybridization of process-based model and deep neural networks
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122932openalex-snapshot
S3-infer: Sensitivity-aware and sparsity-exploiting protocols for private inference
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122974openalex-snapshot
FLSDA: A synergistic defense against backdoor attacks in federated learning
inferred← citeshttps://doi.org/10.1016/j.ins.2026.124297openalex-snapshot
CIPHER-fed: An inference-resistant federated learning framework via structural gradient obfuscation
inferred← citeshttps://doi.org/10.1016/j.jbi.2025.104886openalex-snapshot
An open-set semi-supervised multi-task learning framework for context classification in biomedical texts
inferred← citeshttps://doi.org/10.1016/j.jnca.2024.104053openalex-snapshot
RLL-SWE: A Robust Linked List Steganography Without Embedding for intelligence networks in smart environments
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114522openalex-snapshot
Toward customized model discrepancies in personalized federated learning on non-IID data
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114677openalex-snapshot
A federated evolving computing architecture for fault inspection in textile manufacturing
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.115085openalex-snapshot
FedDNL: Federated differentiated noisy learning for label noise heterogeneity
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116014openalex-snapshot
FLEX: Robust client selection for dynamic federated learning environments
inferred← citeshttps://doi.org/10.1016/j.multra.2026.100308openalex-snapshot
Harnessing Large Language Models for Intelligent Transportation Systems: A Systematic Review
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131251openalex-snapshot
Multi-objective adaptive Nesterov-like acceleration algorithm for multi-task deep learning
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108317openalex-snapshot
Dual-balancing for multi-task learning
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112703openalex-snapshot
A robust and efficient approach using Aggregated-FlexiNet for interpretable musculoskeletal radiograph classification
inferred← citeshttps://doi.org/10.1016/j.procs.2025.05.021openalex-snapshot
Improve Semantic Reasoning Ability by Combining Multi-task Learning and Deformation Model
inferred← citeshttps://doi.org/10.1016/j.scico.2026.103436openalex-snapshot
Adaptive urgency-based real-time task scheduling in ADAS systems
inferred← citeshttps://doi.org/10.1016/j.scsadv.2025.100005openalex-snapshot
Federated optimal transport domain adaptation using Internet of Things sensor data for activity recognition
inferred← citeshttps://doi.org/10.1016/j.sysarc.2024.103268openalex-snapshot
Secure pairing-free certificateless aggregate signcryption scheme for IoT
inferred← citeshttps://doi.org/10.1016/j.sysarc.2025.103599openalex-snapshot
A multi-functional and privacy-preserving data aggregation scheme for smart grid
inferred← citeshttps://doi.org/10.1016/j.sysarc.2025.103631openalex-snapshot
PNRF: Defending against reconstruction attacks in split federated learning via adversarial perturbation on non-robust features
inferred← citeshttps://doi.org/10.1016/j.sysarc.2025.103671openalex-snapshot
Thwarting gradient inversion in federated learning via generative shadow mapping defense
inferred← citeshttps://doi.org/10.1038/s41467-025-63036-7openalex-snapshot
Chemical knowledge-informed framework for privacy-aware retrosynthesis learning
inferred← citeshttps://doi.org/10.1038/s41598-025-06306-0openalex-snapshot
Mamba-fusion for privacy-preserving disease prediction
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/s41598-025-99409-7openalex-snapshot
Intelligent analysis algorithm for power engineering data based on improved BiLSTM
inferred← citeshttps://doi.org/10.1080/0954898x.2024.2398531openalex-snapshot
Improved deep neural network (EnhanceNet) for real-time detection of some publicly prohibited items
inferred← citeshttps://doi.org/10.1080/10447318.2026.2625960openalex-snapshot
Analyzing Privacy Dynamics Within Groups Using Gamified Auctions
inferred← citeshttps://doi.org/10.1080/1206212x.2025.2520496openalex-snapshot
PulmoMTL-Net: a multitask learning framework for enhanced segmentation and classification of pulmonary diseases
inferred← citeshttps://doi.org/10.1088/1361-6501/ae33dbopenalex-snapshot
Cascaded multitask learning for adaptive remaining useful life prediction for rolling bearings with multiple fault modes
inferred← citeshttps://doi.org/10.1088/1402-4896/ad92adopenalex-snapshot
Design of reconfigurable logic computing circuit for chaotic system
inferred← citeshttps://doi.org/10.1088/2632-2153/adb53copenalex-snapshot
Overcoming sparse datasets with multi-task learning as applied to high entropy alloys
inferred← citeshttps://doi.org/10.1093/jamia/ocaf002openalex-snapshot
RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements
inferred← citeshttps://doi.org/10.1109/access.2025.3549280openalex-snapshot
Multimodal Sentiment Analysis Based on Expert Mixing of Subtask Representations
inferred← citeshttps://doi.org/10.1109/access.2025.3555750openalex-snapshot
Joint Class and Domain Continual Learning for Decentralized Federated Processes
inferred← citeshttps://doi.org/10.1109/access.2025.3564962openalex-snapshot
Mamba-Based VoxelMorph Framework for Cardiovascular Disease Imaging and Risk Assessment
inferred← citeshttps://doi.org/10.1109/access.2025.3601142openalex-snapshot
Triple Model Framework for Medical Diagnosis: Assist in the Decentralization of Medical Resources
inferred← citeshttps://doi.org/10.1109/access.2025.3608205openalex-snapshot
Real-Time DDoS Attack Detection in SDN Based on En-CNN and OptiLGBM
inferred← citeshttps://doi.org/10.1109/access.2025.3647561openalex-snapshot
Privacy-Preserving Deep Learning for Disease Diagnosis in Medical Imaging: A Systematic Review
inferred← citeshttps://doi.org/10.1109/access.2026.3721480openalex-snapshot
A Verifiable Accountable Anonymous Authentication Interface for Cross-Silo Federated Learning
inferred← citeshttps://doi.org/10.1109/aeeca65693.2025.00159openalex-snapshot
FedLBS: Lightweight Backup Strategy Based on Federated Learning in Attack Scenarios
inferred← citeshttps://doi.org/10.1109/aiotsys63104.2024.10780455openalex-snapshot
Physically Secure and Privacy-Preserving Authentication Scheme for VANET
inferred← citeshttps://doi.org/10.1109/airc64931.2025.11077492openalex-snapshot
Federated Governance Architecture for Collaborative Healthcare AI
inferred← citeshttps://doi.org/10.1109/ais69919.2026.11621604openalex-snapshot
Trust-Aware Federated Learning with Adaptive Post-Quantum Encryption and Blockchain Accountability for Secure IoT Systems
inferred← citeshttps://doi.org/10.1109/auteee67053.2025.11322388openalex-snapshot
Enabling Role of Post-Quantum Secure Multi-Party Private Intersection Protocol in Federated Learning
inferred← citeshttps://doi.org/10.1109/bibm66473.2025.11355978openalex-snapshot
Distilling Dataset Summarization via Constrained Diffusion Model for Shareable Synthetic Histopathology Images
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825769openalex-snapshot
A Survey on Model-heterogeneous Federated Learning: Problems, Methods, and Prospects
inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11402107openalex-snapshot
Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning
inferred← citeshttps://doi.org/10.1109/blockchain67634.2025.00032openalex-snapshot
Dual-Key Verifiable Secure Aggregation for Federated Learning via Blockchain
inferred← citeshttps://doi.org/10.1109/camad67323.2025.11229909openalex-snapshot
Federated Learning Attack: Fast Image Leakage from Gradients
inferred← citeshttps://doi.org/10.1109/cicn67655.2025.11368045openalex-snapshot
Secure Edge AI: A Federated Learning Approach to Cache Side-Channel Attack Detection in Vehicular Networks
inferred← citeshttps://doi.org/10.1109/comst.2025.3561657openalex-snapshot
Zero-Knowledge Proof-Based Verifiable Decentralized Machine Learning in Communication Network: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/comst.2025.3634143openalex-snapshot
When Federated Learning Meets Quantum Computing: Survey and Research Opportunities
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11581530openalex-snapshot
Fed-CEP: Federated Causal-Semantic Privacy via Calibrated Input Perturbation
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11581562openalex-snapshot
FedSLA: An Efficient Asynchronous Federated Fine-tuning Method for LLMs with Time Windows and Staleness-controlled Layer-wise Aggregation
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11581716openalex-snapshot
Fed-SENSE: Federated State-Aware Null-Space Ensemble for Evasive Learning
inferred← citeshttps://doi.org/10.1109/cvmi66673.2025.11337720openalex-snapshot
Privacy-Preserving Federated Learning for Health Care Data
inferred← citeshttps://doi.org/10.1109/cvprf71909.2026.00493openalex-snapshot
Towards Calibrated Gradient-Based Multi-Task Learning
inferred← citeshttps://doi.org/10.1109/dsn-s65789.2025.00029openalex-snapshot
Trusted Federated Learning: Towards a Partial Zero-Knowledge Proof Approach
inferred← citeshttps://doi.org/10.1109/fuzz62266.2025.11152241openalex-snapshot
wFedUFCM: A Federated Approach to Weighted Unconstrained Fuzzy C-Means Clustering
inferred← citeshttps://doi.org/10.1109/ic_etc65981.2025.11141092openalex-snapshot
FLARE: Federated Learning Attack via Robust Expectation-Based Backdooring Using GAN
inferred← citeshttps://doi.org/10.1109/icadcs70036.2026.11583259openalex-snapshot
Federated Learning with Zero-Knowledge Proofs for Healthcare: A Survey
inferred← citeshttps://doi.org/10.1109/icaiia70172.2026.11691741openalex-snapshot
Scenario-Based Federated Learning for Privacy-Aware IoT Botnet Intrusion Detection
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889171openalex-snapshot
A Federated Learning Network Intrusion Detection System for Multiple Imbalances
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11463812openalex-snapshot
Sparsity-Induced Reparametrization for Differentially Private Federated Learning
inferred← citeshttps://doi.org/10.1109/iccc65529.2025.11148947openalex-snapshot
Secure Aggregation for Federated Learning in VANETs with Anonymous Handover Authentication
inferred← citeshttps://doi.org/10.1109/icccn65249.2025.11133897openalex-snapshot
Federated Learning Framework with Personalized Model Compression and Privacy Protection
inferred← citeshttps://doi.org/10.1109/iccmrai67732.2026.11724306openalex-snapshot
Federated Learning with Homomorphic Encryption: Balancing Data Privacy and Defense Against Adversarial Attacks
inferred← citeshttps://doi.org/10.1109/icdsca63855.2024.10860004openalex-snapshot
Research on Efficiency and Security Balance of Federated Learning Algorithm for Multi-node Privacy Computing
inferred← citeshttps://doi.org/10.1109/iceca66444.2025.11383189openalex-snapshot
Federated Learning for Privacy - Preserving Image Classification
inferred← citeshttps://doi.org/10.1109/icetci71772.2026.11710410openalex-snapshot
Cryptographic Defenses Against Inference Attacks for Secured Vertical Federated Learning
inferred← citeshttps://doi.org/10.1109/icetis70504.2026.11633430openalex-snapshot
A Secure and Verifiable Federated Learning Framework for Industrial Internet Systems
inferred← citeshttps://doi.org/10.1109/icme59968.2025.11209553openalex-snapshot
A Novel Differential Privacy Federated Learning Framework: An Adaptive Budget Allocation and Reversion Method
inferred← citeshttps://doi.org/10.1109/ipccc66453.2025.11304693openalex-snapshot
Task-Oriented Semantic Communication Via Federated Learning
inferred← citeshttps://doi.org/10.1109/isac364032.2025.11156569openalex-snapshot
Adaptive-Personalised Federated Deep Learning for Privacy-Aware NAFLD Screening
inferred← citeshttps://doi.org/10.1109/iscipt67144.2025.11265675openalex-snapshot
Privacy-Preserving Federated Learning via Rerandomizable Garbled Circuits
inferred← citeshttps://doi.org/10.1109/ispds67367.2025.11391075openalex-snapshot
Blockchain-based Privacy-Preserving Data Trading Using NFT and GANs
inferred← citeshttps://doi.org/10.1109/issre66568.2025.00053openalex-snapshot
Enhancing Privacy and Robustness in Federated Learning with Local Data Distribution Invariance and Byzantine-Resilient Aggregation
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3559493openalex-snapshot
Postoperative Recovery Assessment for Parkinson's Patients via Light-Weighted Topological Pose Estimation
inferred← citeshttps://doi.org/10.1109/jbhi.2025.3628659openalex-snapshot
Dual-Branch Self-Supervised Contrastive Pre-Training Framework for Sleep Stage Classification
inferred← citeshttps://doi.org/10.1109/jcice66205.2025.11182031openalex-snapshot
DP-FMeta: A Differentially Private Federated Optimization Framework Based on Meta Prediction
inferred← citeshttps://doi.org/10.1109/jiot.2024.3478754openalex-snapshot
PKChain: Compromise-Tolerant and Verifiable Public Key Management System
inferred← citeshttps://doi.org/10.1109/jiot.2025.3594026openalex-snapshot
EAFL-ALP: Energy-Efficient Asynchronous Federated Learning With Adaptive Layered Personalization for Vehicular Networks
inferred← citeshttps://doi.org/10.1109/jiot.2025.3619561openalex-snapshot
FEELPGen: Data-Free Knowledge Distillation for Personalized Federated Learning Across Heterogeneous Edge Silos
inferred← citeshttps://doi.org/10.1109/jiot.2025.3639396openalex-snapshot
Secure and Trustworthy Federated Learning Framework via Hierarchical Sharding Blockchain
inferred← citeshttps://doi.org/10.1109/jiot.2025.3647441openalex-snapshot
Secure and Robust Federated Learning Under Dual-Server Architecture in Internet of Things
inferred← citeshttps://doi.org/10.1109/jiot.2026.3720401openalex-snapshot
Federated Metalearning-Driven Self-Organizing Maps for Edge-Based Privacy-Preserving Intrusion Detection in Industrial IoT
inferred← citeshttps://doi.org/10.1109/jsac.2025.3638286openalex-snapshot
Communication-Efficient Federated Learning for Edge Computing With Gradient Leakage Defense
inferred← citeshttps://doi.org/10.1109/mwscas53549.2025.11244590openalex-snapshot
Addressing Heterogeneity and Adversarial Threats Towards Securing Federated Learning
inferred← citeshttps://doi.org/10.1109/ojcoms.2025.3560034openalex-snapshot
A Survey on Privacy and Security in Distributed Cloud Computing: Exploring Federated Learning and Beyond
inferred← citeshttps://doi.org/10.1109/ojvt.2025.3594030openalex-snapshot
Heterogeneous Federated Learning for Vehicle-to-Everything: Feature Prototype Aggregation and Generative Feedback Mechanism
inferred← citeshttps://doi.org/10.1109/prai67447.2025.11412572openalex-snapshot
Privacy-Preserving Computing Architecture for Secure Big Data Processing in Distributed Environments
inferred← citeshttps://doi.org/10.1109/sec62691.2024.00073openalex-snapshot
Poster: Robust Edge-Based Detection of Bot Attacks Through Federated Learning
inferred← citeshttps://doi.org/10.1109/swc62898.2024.00078openalex-snapshot
A Privacy-Preserving Decentralized Federated Learning Framework Based on Differential Privacy
inferred← citeshttps://doi.org/10.1109/tccn.2026.3662666openalex-snapshot
Joint Communication Topology Reconstruction and Parameter Filtering for Heterogeneous Decentralized Federated Learning
inferred← citeshttps://doi.org/10.1109/tcds.2025.3647220openalex-snapshot
PS-KD: PatchMix Simulation for High-Fidelity Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/tce.2024.3426101openalex-snapshot
Blockchain-Enabled Distributed Identity-Based Ring Signature With Identity Abort for Consumer Electronics
inferred← citeshttps://doi.org/10.1109/tce.2025.3525536openalex-snapshot
Fused Fuzzy Deep Learning and Information Steganography for Privacy Preservation in Medical Consumer Electronics
inferred← citeshttps://doi.org/10.1109/tce.2025.3627792openalex-snapshot
Lightweight Federated Learning for Terminal-Edge-Cloud With Two-Step Privacy Protection in Consumer Electronics
inferred← citeshttps://doi.org/10.1109/tce.2026.3668235openalex-snapshot
Ensuring Data Integrity for Consumer-Centric Digital Twins in Healthcare 5.0 via a Blockchain-Oriented Signature
inferred← citeshttps://doi.org/10.1109/tce.2026.3686756openalex-snapshot
Hybrid Poisoning Attacks Leveraging Fake Identities in Cross-Device Federated Learning-Edge Consumer IoT Networks
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3502693openalex-snapshot
LESEP: Boosting Adversarial Transferability via Latent Encoding and Semantic Embedding Perturbations
inferred← citeshttps://doi.org/10.1109/tdsc.2025.3602908openalex-snapshot
SAMK: Secure Aggregation for Federated Learning Under Multiple Keys With Low Communication Rounds
inferred← citeshttps://doi.org/10.1109/tetci.2025.3540420openalex-snapshot
PurifyFL: Non-Interactive Privacy-Preserving Federated Learning Against Poisoning Attacks Based on Single Server
inferred← citeshttps://doi.org/10.1109/tifs.2026.3688943openalex-snapshot
Federated Unsupervised Skeletal Action Recognition From Condensation to Expansion
inferred← citeshttps://doi.org/10.1109/tii.2025.3528569openalex-snapshot
Secure Federated Learning for Cloud-Fog Automation: Vulnerabilities, Challenges, Solutions, and Future Directions
inferred← citeshttps://doi.org/10.1109/tii.2026.3683472openalex-snapshot
Fully Decentralized Authentication and Key Exchange Scheme for Data Sharing in AIoMT
inferred← citeshttps://doi.org/10.1109/tits.2024.3443171openalex-snapshot
Physically Secure and Privacy-Preserving Charging Authentication Framework With Data Aggregation in Vehicle-to-Grid Networks
inferred← citeshttps://doi.org/10.1109/tkde.2025.3550546openalex-snapshot
Zkfhed: A Verifiable and Scalable Blockchain-Enhanced Federated Learning System
inferred← citeshttps://doi.org/10.1109/tkde.2026.3676129openalex-snapshot
Deep Fuzzy C-Means Clustering in a Federated Model Heterogeneous Scenario
inferred← citeshttps://doi.org/10.1109/tmc.2025.3605205openalex-snapshot
Fully Anonymous Broadcast Signcryption for Secure Health Data Transmission in WBANs
inferred← citeshttps://doi.org/10.1109/tmc.2025.3634199openalex-snapshot
FedeCouple: Fine-Grained Balancing of Global-Generalization and Local-Adaptability in Federated Learning
inferred← citeshttps://doi.org/10.1109/tmc.2026.3688489openalex-snapshot
AsyncFed-SAR: Toward Communication-Efficient Asynchronous Federated Learning for SAR Image Target Recognition
inferred← citeshttps://doi.org/10.1109/tmc.2026.3707971openalex-snapshot
BioMutFed+: Mutation-Driven Federated Learning for IIoT
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3600252openalex-snapshot
Privacy-Preserving Video Anomaly Detection: A Survey
inferred← citeshttps://doi.org/10.1109/tnse.2025.3605157openalex-snapshot
An Adaptive Secure Identity-Based Signcryption With Equality Test for High-Speed Railway Train–Ground Communication
inferred← citeshttps://doi.org/10.1109/tnsm.2026.3704409openalex-snapshot
Time Period Selected Aggregation for Providing Hierarchical and Differentiated Services in Mobile Sensing
inferred← citeshttps://doi.org/10.1109/tpds.2026.3678282openalex-snapshot
Edge-End Heterogeneous Collaborative Learning by Prototype Selection and Edge Association
inferred← citeshttps://doi.org/10.1109/tr.2025.3587088openalex-snapshot
DA-FL: Blockchain Empowered Secure and Private Federated Learning With Anonymous Authentication
inferred← citeshttps://doi.org/10.1109/trustcom63139.2024.00099openalex-snapshot
AdaptFL: Adaptive Client Task Allocation-Based Synchronous Federated Learning
inferred← citeshttps://doi.org/10.1109/tsc.2026.3717586openalex-snapshot
Service-Centric Adolescent Mental Health Early Warning Solutions and Enabling Technologies: Survey and Framework
inferred← citeshttps://doi.org/10.1109/tvt.2025.3609341openalex-snapshot
Mobility-Aware Reputation-Based Hierarchical Federated Learning for Internet of Vehicles
inferred← citeshttps://doi.org/10.1136/jme-2023-109675openalex-snapshot
What does it mean for a clinical AI to be just: conflicts between local fairness and being fit-for-purpose?
inferred← citeshttps://doi.org/10.1142/s0219519425400743openalex-snapshot
AN IOT-ENABLED MULTIMODAL FRAMEWORK FOR REAL-TIME SLEEP QUALITY ASSESSMENT AND HEALTH MONITORING
inferred← citeshttps://doi.org/10.1145/3688002openalex-snapshot
Efficient and Privacy-Enhanced Asynchronous Federated Learning for Multimedia Data in Edge-Based IoT
inferred← citeshttps://doi.org/10.1145/3707172.3707179openalex-snapshot
Personalized Federated Learning Using Client Clustering for Medical Image Classification
inferred← citeshttps://doi.org/10.1145/3708821.3736188openalex-snapshot
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI
inferred← citeshttps://doi.org/10.1145/3714334.3714385openalex-snapshot
An Adaptive CGAN-Enhanced Federated Learning Model for Intrusion Detection in IoT
inferred← citeshttps://doi.org/10.1145/3719160.3736621openalex-snapshot
The Art of Talking Machines: A Comprehensive Literature Review of Conversational User Interfaces
inferred← citeshttps://doi.org/10.1145/3731806.3731811openalex-snapshot
Modeling and Visualizing Human Experience in a Knowledge Graph: Understanding and Predicting Emotional Reactions to Life Events
inferred← citeshttps://doi.org/10.1145/3746252.3761480openalex-snapshot
iMask : Towards a Smart Mask Network Prototype for Monitoring Respiratory Viruses
inferred← citeshttps://doi.org/10.1145/3779208.3785414openalex-snapshot
Setup Once, Secure Always: A Single-Setup Secure Federated Learning Aggregation Protocol with Forward and Backward Secrecy for Dynamic Users
inferred← citeshttps://doi.org/10.1145/3788108.3788514openalex-snapshot
RPPFL: A Robust and Privacy-Preserving Framework for Federated Learning with Trusted Execution Environments
inferred← citeshttps://doi.org/10.1145/3801488.3807897openalex-snapshot
A PUF-based Secure Aggregation Protocol for Deep Edge Devices
inferred← citeshttps://doi.org/10.1148/ryai.250273openalex-snapshot
Rethinking Privacy in Medical Imaging AI: From Metadata and Pixel-Level Identification Risks to Federated Learning and Synthetic Data Challenges
inferred← citeshttps://doi.org/10.1155/er/1942591openalex-snapshot
Privacy‐Preserving and Interpretable Stability Prediction in Smart Grids Using Explainable Federated Feature Selection
inferred← citeshttps://doi.org/10.1177/14727978251366555openalex-snapshot
Optimizing flow model in trade zones based on multimodal graph neural network
inferred← citeshttps://doi.org/10.1177/17248035251367166openalex-snapshot
Dynamic Adaptive Collaboration for Personalized Federated Learning
inferred← citeshttps://doi.org/10.1200/cci-25-00002openalex-snapshot
Open-Source Hybrid Large Language Model Integrated System for Extraction of Breast Cancer Treatment Pathway From Free-Text Clinical Notes
inferred← citeshttps://doi.org/10.12677/csa.2025.1511313openalex-snapshot
Generative Data Augmentation Based Federated Multi-Label Weakly Supervised Graph Neural Networks and Their Applications
inferred← citeshttps://doi.org/10.1360/ssi-2025-0297openalex-snapshot
TVPFL: traceable and verifiable privacy-preserving federated learning
inferred← citeshttps://doi.org/10.1515/9783111541235-007openalex-snapshot
129Privacy-Preserving Machine Learning in Clinical Research: Using Federated Learning to Protect Patient Data
inferred← citeshttps://doi.org/10.1515/zwf-2024-0131openalex-snapshot
Federated Learning in der Arbeitsplanung
inferred← citeshttps://doi.org/10.2139/ssrn.5413732openalex-snapshot
FDIP: Enhancing Protection in Face De-identification Via Imperceptible Perturbations
showing the first 200 of 247 · page through all 247
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.