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Showing 1601–1650 of 2975 papers

TitleStatusHype
Federated Reinforcement Distillation with Proxy Experience Memory—0
Federated Remote Physiological Measurement with Imperfect Data—0
Federated Representation Learning for Automatic Speech Recognition—0
Federated Retrieval-Augmented Generation: A Systematic Mapping Study—0
Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning—0
Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning—0
Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients—0
Federated Structured Sparse PCA for Anomaly Detection in IoT Networks—0
Federated Survival Analysis with Discrete-Time Cox Models—0
Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning—0
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application—0
FederatedTrust: A Solution for Trustworthy Federated Learning—0
Federated Two-stage Learning with Sign-based Voting—0
Federated unsupervised random forest for privacy-preserving patient stratification—0
Federated User Representation Learning—0
Exploring Semantic Attributes from A Foundation Model for Federated Learning of Disjoint Label Spaces—0
FedEval: A Holistic Evaluation Framework for Federated Learning—0
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom—0
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network—0
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks—0
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning—0
FedGES: A Federated Learning Approach for BN Structure Learning—0
FedGL: Federated Graph Learning Framework with Global Self-Supervision—0
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation—0
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling—0
FedGRec: Dynamic Spatio-Temporal Federated Graph Learning for Secure and Efficient Cross-Border Recommendations—0
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation—0
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination—0
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses—0
FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks—0
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation—0
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework—0
FedMinds: Privacy-Preserving Personalized Brain Visual Decoding—0
FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices—0
FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion—0
FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology—0
FedMR: Fedreated Learning via Model Recombination—0
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning—0
FedNILM: Applying Federated Learning to NILM Applications at the Edge—0
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks—0
FedORGP: Guiding Heterogeneous Federated Learning with Orthogonality Regularization on Global Prototypes—0
FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition—0
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing—0
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation—0
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation—0
FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning—0
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence—0
FedProf: Selective Federated Learning with Representation Profiling—0
FedPrune: Towards Inclusive Federated Learning—0
FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices—0
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