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Federated Learning

969 papers

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Papers

EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NeurIPS 2022 Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation EMNLP 2022 Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination CVPR 2022 Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning NeurIPS 2022 Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching NeurIPS 2022 Fairness in Federated Learning via Core-Stability NeurIPS 2022 Feature Distribution Matching for Federated Domain Generalization ACML 2022 FedAvg with Fine Tuning: Local Updates Lead to Representation Learning NeurIPS 2022 FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract) AAAI 2022 FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning IJCAI 2022 FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction CVPR 2022 FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server IJCAI 2022 Federated Class-Incremental Learning CVPR 2022 Federated Domain Adaptation for ASR with Full Self-Supervision Interspeech 2022 Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022 Federated Functional Gradient Boosting AISTATS 2022 Federated Learning from Pre-Trained Models: A Contrastive Learning Approach NeurIPS 2022 Federated Learning with Buffered Asynchronous Aggregation AISTATS 2022 Federated Learning with Label Distribution Skew via Logits Calibration ICML 2022 Federated Learning with Noisy User Feedback NAACL 2022 Federated Learning with Partial Model Personalization ICML 2022 Federated Learning With Position-Aware Neurons CVPR 2022 Federated Learning with Positive and Unlabeled Data ICML 2022 Federated Minimax Optimization: Improved Convergence Analyses and Algorithms ICML 2022 Federated Multi-Task Attention for Cross-Individual Human Activity Recognition IJCAI 2022