federated-learning

Documents about federated-learning

• CRAD: Class-wise Reliability-Aware Distillation for Decentralized Heterogeneous Federated Learning#809898arXiv (OAI Expanded)
• CRAD: Class-wise Reliability-Aware Distillation for Decentralized Heterogeneous Federated Learning#819894arXiv (All)
• CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning#920101arXiv (OAI Expanded)
• CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning#924332arXiv (All)
• Solution-space heterogeneity shapes federated learning dynamics across partial differential equations#971970arXiv (All)
• Non-Coherent Over-the-Air Federated Learning: Protocol, Convergence, and Device Scheduling#985677arXiv (All)
• Cascading Gradient Inversion via LT-Code Inspired Peeling in Federated Learning#987991arXiv (All)
• Privacy-preserving multimodal federated learning pipeline for cyber-resilient healthcare systems.#900NCBI PubMed Central
• FEDBUD: Joint Incentive and Privacy Optimization for Resource-Constrained Federated Learning#10317arXiv CS
• Federated learning, ethics, and the double black box problem in medical AI#89187PhilArchive
• A Data-Free Membership Inference Attack on Federated Learning in Hardware Assurance#123970arXiv CS
• Function-Space ADMM for Decentralized Federated Learning: A Control Theoretic Perspective#175175arXiv CS
• Privacy-preserving Chunk Scheduling in a BitTorrent Implementation of Federated Learning#175197arXiv CS
• Cross-silo Federated Learning with Record-level Personalized Differential Privacy#177256Semantic Scholar
• Privacy and Fairness in Federated Learning: On the Perspective of Tradeoff#177281Semantic Scholar
• A Review of Privacy Enhancement Methods for Federated Learning in Healthcare Systems#177283Semantic Scholar
• Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning#177286Semantic Scholar
• GeFL: Gradient Encryption-Aided Privacy Preserved Federated Learning for Autonomous Vehicles#177300Semantic Scholar
• Privacy Preservation for Federated Learning With Robust Aggregation in Edge Computing#177312Semantic Scholar
• Active Membership Inference Attack under Local Differential Privacy in Federated Learning#177314Semantic Scholar
• Federated Learning for Internet of Things: A Comprehensive Survey#177317Semantic Scholar
• Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation#177323Semantic Scholar
• FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning#177324Semantic Scholar
• FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement#178832arXiv CS
• Dual asymmetric momentum improves federated class unlearning in edge systems.#182393NCBI PubMed Central
• PCDM: A Diffusion-Based Data Poisoning Attack Against Federated Learning Systems#194283arXiv CS
• FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging With FairLoRA.#196040NCBI PubMed Central
• Data-Free Client Contribution Estimation via Logit Maximization for Federated Learning#204764arXiv CS
• EnCAgg: Enhanced Clustering Aggregation for Robust Federated Learning against Dynamic Model Poisoning#216709arXiv CS
• Adaptive Multi-Model Hierarchical Federated Learning for Robust IoT Intrusion Detection.#232586NCBI PubMed Central
• Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels#238499arXiv CS
• Quantifying and Defending against the Privacy Risk in Logit-based Federated Learning#267592arXiv CS
• Adaptive client participation mechanism for federated learning in heterogeneous vehicular networks.#288884NCBI PubMed Central
• Federated Learning for Privacy-Preserving Intrusion Detection in Software-Defined Networks#303017Semantic Scholar
• A Fog-Based Privacy-Preserving Federated Learning System for Smart Healthcare Applications#303022Semantic Scholar
• FL-ODP: An Optimized Differential Privacy Enabled Privacy Preserving Federated Learning#303024Semantic Scholar
• Semi-asynchronous Federated Learning in Flower: Framework Extension and Performance Assessment#303183arXiv CS
• A Survey of Federated Learning Privacy Preservation Techniques for Malicious Behavior Detection#341884Semantic Scholar
• Blockchain-Based Privacy-Enhancing Federated Learning in Smart Healthcare: A Survey#341891Semantic Scholar
• Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications#341899Semantic Scholar
• Federated Learning with Homomorphic Encryption for Ensuring Privacy in Medical Data#341904Semantic Scholar
• FedSPM: Routing-Enabled Federated Learning under Dual Heterogeneity via Semiparametric Mixture#343439arXiv CS
• SynPre-FL: Synthetic data-driven pretraining integrated Federated Learning training framework#394384arXiv CS
• Smart FL: meta-learning for federated blood marrow smear classification.#399870NCBI PubMed Central
• Defending Against Backdoor Attacks via Alignment Checking in Model-Contrastive Federated Learning#410933arXiv CS
• Privacy-Preserving Breast Cancer Classification: A Federated Transfer Learning Approach#417059Semantic Scholar
• FedJigsaw: Multi-Agent Collaborative Model Reassembly for Decentralized Heterogeneous Federated Learning#423926arXiv CS
• FedCARE: A Multi-Objective Personalised Federated Learning Framework for Smart Healthcare#429329arXiv CS
• Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning#440333arXiv CS
• Research on the Security Technology of Federated Learning Privacy Preserving#441434Semantic Scholar