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Federated Learning

551 directly classified papers

Papers per year

Papers

LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021
Federated Learning with Fair Averaging IJCAI 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning IJCAI 2021
FedSpeech: Federated Text-to-Speech with Continual Learning IJCAI 2021
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021
A Wasserstein Minimax Framework for Mixed Linear Regression ICML 2021
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data ICML 2021
Exploiting Shared Representations for Personalized Federated Learning ICML 2021
Federated Composite Optimization ICML 2021
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity ICML 2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix ICML 2021
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework AAAI 2020
Federated Accelerated Stochastic Gradient Descent NIPS 2020
Sol: Fast Distributed Computation Over Slow Networks NSDI 2020
Domain Adaptation of Thai Word Segmentation Models using Stacked Ensemble EMNLP 2020
Federated Learning with Only Positive Labels ICML 2020
Robust Federated Learning via Collaborative Machine Teaching AAAI 2020
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning AAAI 2020
Practical Federated Gradient Boosting Decision Trees AAAI 2020
Distributionally Robust Federated Averaging NIPS 2020
Distributed Kernel Ridge Regression with Communications JMLR 2020
Federated Meta-Learning for Fraudulent Credit Card Detection IJCAI 2020
A Multi-player Game for Studying Federated Learning Incentive Schemes IJCAI 2020
Ensemble Distillation for Robust Model Fusion in Federated Learning NIPS 2020
Privacy-Preserving News Recommendation Model Learning EMNLP 2020