federated learning

The Skellam Mechanism for Differentially Private Federated Learning NeurIPS 2021 Towards Flexible Device Participation in Federated Learning AISTATS 2021 Toward Understanding the Influence of Individual Clients in Federated Learning AAAI 2021 Understanding Clinical Collaborations Through Federated Classifier Selection MLHC 2021 Understanding Unintended Memorization in Language Models Under Federated Learning NAACL 2021 Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving EMNLP 2021 Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021 Zero-Shot Federated Learning with New Classes for Audio Classification Interspeech 2021 Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization ICML 2020 A Federated Approach in Training Acoustic Models Interspeech 2020 A Multi-player Game for Studying Federated Learning Incentive Schemes IJCAI 2020 A Scalable Approach for Privacy-Preserving Collaborative Machine 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 Collaborative Machine Learning with Incentive-Aware Model Rewards ICML 2020 Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020 DBA: Distributed Backdoor Attacks against Federated Learning ICLR 2020 Differentially-Private Federated Linear Bandits NeurIPS 2020 Differentially Private Meta-Learning ICLR 2020 Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms NeurIPS 2020 Distributionally Robust Federated Averaging NeurIPS 2020 Empirical Studies of Institutional Federated Learning For Natural Language Processing EMNLP 2020 Ensemble Distillation for Robust Model Fusion in Federated Learning NeurIPS 2020 Fair Resource Allocation in Federated Learning ICLR 2020 FedBoost: A Communication-Efficient Algorithm for Federated Learning ICML 2020