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Federated Learning

497 directly classified papers

Papers per year

Papers

FLAME: Differentially Private Federated Learning in the Shuffle Model AAAI 2021
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation AAAI 2021
FedRec++: Lossless Federated Recommendation with Explicit Feedback AAAI 2021
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021
Model-Contrastive Federated Learning CVPR 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space CVPR 2021
Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms JMLR 2021
Federated Learning under Arbitrary Communication Patterns ICML 2021
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning AAAI 2021
Communication-Efficient Agnostic Federated Averaging INTERSPEECH 2021
Privacy-Preserving Collaborative Learning With Automatic Transformation Search CVPR 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning ICML 2021
Federated Continual Learning with Weighted Inter-client Transfer ICML 2021
Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021
The Skellam Mechanism for Differentially Private Federated Learning NIPS 2021
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity ICML 2021
Federated Composite Optimization ICML 2021
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning ICML 2021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates ICML 2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021
Lossless Compression of Efficient Private Local Randomizers ICML 2021
Personalized Cross-Silo Federated Learning on Non-IID Data AAAI 2021
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data ICML 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix ICML 2021
Linear Regression over Networks with Communication Guarantees L4DC 2021