federated-learning

Documents about federated-learning

• PLDP-FL: Federated Learning with Personalized Local Differential Privacy#177302Semantic Scholar
• Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach#177310Semantic Scholar
• Privacy and Robustness in Federated Learning: Attacks and Defenses#177311Semantic Scholar
• Combining homomorphic encryption and differential privacy in federated learning#177319Semantic Scholar
• Federated Learning-Based Privacy-Preserving Data Aggregation Scheme for IIoT#177321Semantic Scholar
• A Survey on Blockchain-Based Federated Learning and Data Privacy#177322Semantic Scholar
• RingSFL: An Adaptive Split Federated Learning Towards Taming Client Heterogeneity#177326Semantic Scholar
• A Privacy Preserving System for Movie Recommendations Using Federated Learning#177330Semantic Scholar
• Membership Inference Attacks and Defenses in Federated Learning: A Survey#177331Semantic Scholar
• Centralized vs Decentralized Federated Learning: A trade-off performance analysis#192403arXiv CS
• GuidaPA: Privacy-Preserving Chatbot for Public Administration via Federated Learning#246520arXiv CS
• Local Differential Privacy-Based Federated Learning for Internet of Things#252019Semantic Scholar
• Exploring CKKS Parameter Trade-offs for Privacy-Preserving Personalized Federated Learning#267586arXiv CS
• JiRAIYA: A Reputation-Based Hierarchical Federated Learning Framework on Web3#271794arXiv CS
• Your Privacy My Cloak: Backdoor Attacks on Differentially Private Federated Learning#280095arXiv CS
• Beyond Weights and Gradients: A Taxonomy of Federated Learning Messages#280212arXiv CS
• Towards Robust Personalized Federated Learning: Vulnerability Assessment and Defense Co-Design#299833arXiv CS
• Ensuring Fairness and Gradient Privacy in Personalized Heterogeneous Federated Learning#303020Semantic Scholar
• Fedlabx: a practical and privacy-preserving framework for federated learning#303023Semantic Scholar
• Privacy-Preserving and Resource-Aware Intrusion Detection Using Federated Few-Shot Learning#323973Spectrum: Concordia University Research Repository
• Privacy-preserving Federated Learning and Uncertainty Quantification in Medical Imaging.#327169NCBI PubMed Central
• Generative AI and Federated Learning for Intrusion Detection Systems: A Survey#332479arXiv CS
• Benchmarking Federated Learning and Knowledge Distillation for Point Cloud Classification#332504arXiv CS
• Federated Learning: Privacy-Preserving Data Sharing and Underwriting Applications in the Insurance Industry#341885Semantic Scholar
• FL-EASGD: Federated Learning Privacy Security Method Based on Homomorphic Encryption#341886Semantic Scholar
• Federated learning in intrusion detection: advancements, applications, and future directions#341902Semantic Scholar
• Decentralised Federated Learning over Temporal Networks: The Role of Heterogeneities#343446arXiv CS
• FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning#353118arXiv CS
• FLINT: Fingerprinting Federated Learning Architectures from 5G PHY-Layer Side Channels#381698arXiv CS
• FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning#411090arXiv CS
• FLMMIF: privacy-preserving federated multi-modal medical image fusion.#412250NCBI PubMed Central
• Encryption-Compatible Clustered Federated Learning via Distributed Expectation-Maximization over Metadata#414034arXiv CS
• Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data#414037arXiv CS
• FedTVD: Balancing Data Quality and Quantity for Robust Federated Learning#441751arXiv CS
• FedADB: Class Anchor-Driven Dual-Branch Federated Learning for Mitigating Forgetting#459581arXiv CS
• Enhancing healthcare data privacy and interoperability with federated learning#673249Semantic Scholar
• Privacy-Preserving Federated Learning-Based Intrusion Detection System for IoHT Devices#681729Semantic Scholar
• SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity#682748arXiv (OAI Expanded)
• SpecGradFilter: A Spectral Gradient Filtering Framework for Taming Federated Heterogeneity#684523arXiv (All)
• OCT-FedSIR: Toward Trustworthy Federated Ophthalmic Learning under Annotation Noise#919356arXiv CS
• Federated Foundation Models over Vehicular Networks#973204arXiv (All)
• Privacy‐preserving federated learning based on multi‐key homomorphic encryption#1002159Semantic Scholar
• FedeRage: Provably Convergent Agnostic Federated Learning under General Client Drift#1006829arXiv CS
• Efficiently Distributed Federated Learning#1033754arXiv (All)
• FL-DPCSA: Federated learning with differential privacy for cache side-channel attack detection in edge-based smart grids#20528DOAJ
• Decentralized federated deep Q-learning for IoMT security: leveraging MK-VQFHE and blockchain with IPFS.#150037NCBI PubMed Central
• FedEmoNet: Privacy-preserving federated learning with TCN-Transformer fusion for cross-corpus speech emotion recognition.#161873NCBI PubMed Central
• Integration of Zero-Knowledge proofs (ZK) and Machine Learning to enhance Federated Learning Privacy and Security#341887Semantic Scholar
• An Adaptive Gradient Clipping and Noise Injection Mechanism for Differentially Private Federated Learning#611102arXiv (OAI Expanded)
• An Adaptive Gradient Clipping and Noise Injection Mechanism for Differentially Private Federated Learning#612579arXiv (All)