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Federated Learning

969 papers

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Papers

LeadFL: Client Self-Defense against Model Poisoning in Federated Learning ICML 2023 Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning WACV 2023 LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning ICML 2023 Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels ICCV 2023 MAS: Towards Resource-Efficient Federated Multiple-Task Learning ICCV 2023 Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning JMLR 2023 Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023 Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM NeurIPS 2023 Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023 Multi-Agent Best Arm Identification with Private Communications ICML 2023 Multi-Metrics Adaptively Identifies Backdoors in Federated Learning ICCV 2023 No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation ICML 2023 Nothing but Regrets — Privacy-Preserving Federated Causal Discovery AISTATS 2023 On Biased Compression for Distributed Learning JMLR 2023 One-Shot Federated Conformal Prediction ICML 2023 On Generalization of Decentralized Learning with Separable Data AISTATS 2023 On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023 On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023 Optimizing the Collaboration Structure in Cross-Silo Federated Learning ICML 2023 Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023 PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning AAAI 2023 Personalized Federated Learning under Mixture of Distributions ICML 2023 Personalized Federated Learning with Inferred Collaboration Graphs ICML 2023 Personalized Subgraph Federated Learning ICML 2023 PGFed: Personalize Each Client's Global Objective for Federated Learning ICCV 2023