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Federated Learning

1,560 papers

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Papers

Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate ICLR 2024 Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning ICLR 2024 Hierarchical Federated Learning with Multi-Timescale Gradient Correction NeurIPS 2024 Hierarchical Global Asynchronous Federated Learning Across Multi-Center ACML 2024 HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation AAAI 2024 HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning NeurIPS 2024 Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach NeurIPS 2024 Improving LoRA in Privacy-preserving Federated Learning ICLR 2024 Incentive-Aware Federated Learning with Training-Time Model Rewards ICLR 2024 Incentivized Truthful Communication for Federated Bandits ICLR 2024 Intelligent Agents for Auction-based Federated Learning: A Survey IJCAI 2024 Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning ICLR 2024 Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024 Knowledge-Aware Parameter Coaching for Personalized Federated Learning AAAI 2024 Knowledge Distillation in Federated Learning: A Practical Guide IJCAI 2024 Knowledge Transfer via Compact Model in Federated Learning (Student Abstract) AAAI 2024 Label Leakage in Vertical Federated Learning: A Survey IJCAI 2024 Layer-wise linear mode connectivity ICLR 2024 LEAP: Optimization Hierarchical Federated Learning on Non-IID Data with Coalition Formation Game IJCAI 2024 Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients ICLR 2024 Less is Fed More: Sparsity Reduces Feature Distortion in Federated Learning EMNLP 2024 Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds ICLR 2024 Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning NeurIPS 2024 Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries COLT 2024 Low Precision Local Training is Enough for Federated Learning NeurIPS 2024