Federated Learning
969 papers
Papers per year
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1
1
4
2
1
1
5
9
9
37
90
148
170
234
217
39
'10
'15
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'25
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