Federated Learning

Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization ICML 2020 Active Preference-Based Gaussian Process Regression for Reward Learning RSS 2020 A Federated Approach in Training Acoustic Models Interspeech 2020 A Multi-player Game for Studying Federated Learning Incentive Schemes IJCAI 2020 An Efficient Framework for Clustered Federated Learning NeurIPS 2020 Assisted Learning: A Framework for Multi-Organization Learning NeurIPS 2020 Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NeurIPS 2020 A Unified Theory of Decentralized SGD with Changing Topology and Local Updates ICML 2020 AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection AAAI 2020 Belief Merging Operators as Maximum Likelihood Estimators IJCAI 2020 Breaking the Communication-Privacy-Accuracy Trilemma NeurIPS 2020 Byzantine Resilient Distributed Multi-Task Learning NeurIPS 2020 Closure Properties for Private Classification and Online Prediction COLT 2020 Collaborative Machine Learning with Incentive-Aware Model Rewards ICML 2020 Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction AISTATS 2020 Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020 Data-driven confidence bands for distributed nonparametric regression COLT 2020 DBA: Distributed Backdoor Attacks against Federated Learning ICLR 2020 Differentially-Private Federated Linear Bandits NeurIPS 2020 Differentially Private Meta-Learning ICLR 2020 Distributed, partially collapsed MCMC for Bayesian Nonparametrics AISTATS 2020 Distributed Primal-Dual Optimization for Online Multi-Task Learning AAAI 2020 Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms NeurIPS 2020 Distributionally Robust Federated Averaging NeurIPS 2020 Efficient, Noise-Tolerant, and Private Learning via Boosting COLT 2020