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Federated Learning

1355 directly classified papers

Papers per year

Papers

FedDisco: Federated Learning with Discrepancy-Aware Collaboration ICML 2023
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning ICML 2023
Personalized Subgraph Federated Learning ICML 2023
Fast Federated Machine Unlearning with Nonlinear Functional Theory ICML 2023
GuardHFL: Privacy Guardian for Heterogeneous Federated Learning ICML 2023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis ICCV 2023
Fair yet Asymptotically Equal Collaborative Learning ICML 2023
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond ICML 2023
Federated Learning for Secure Development of AI Models for Parkinson’s Disease Detection Using Speech from Different Languages INTERSPEECH 2023
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation AAAI 2023
The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning CVPR 2023
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication NIPS 2023
Structured Federated Learning through Clustered Additive Modeling NIPS 2023
DELTA: Diverse Client Sampling for Fasting Federated Learning NIPS 2023
Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022
Federated Learning With Position-Aware Neurons CVPR 2022
Federated Learning with Buffered Asynchronous Aggregation AISTATS 2022
Privacy Amplification by Decentralization AISTATS 2022
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning AISTATS 2022
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022
Layer-Wised Model Aggregation for Personalized Federated Learning CVPR 2022
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning CVPR 2022
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data AAAI 2022
Decoupled Federated Learning for ASR with Non-IID Data INTERSPEECH 2022
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees NIPS 2022