Federated Learning
1,560 papers
Papers per year
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1
7
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4
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13
20
77
143
228
328
289
306
130
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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