Federated Learning

Improving On-Device Speaker Verification Using Federated Learning with Privacy Interspeech 2020 InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020 Inverting Gradients - How easy is it to break privacy in federated learning? NeurIPS 2020 KungFu: Making Training in Distributed Machine Learning Adaptive OSDI 2020 Learning discrete distributions: user vs item-level privacy NeurIPS 2020 Lower Bounds and Optimal Algorithms for Personalized Federated Learning NeurIPS 2020 Minibatch vs Local SGD for Heterogeneous Distributed Learning NeurIPS 2020 Model Fusion with Kullback-Leibler Divergence ICML 2020 On the Convergence of FedAvg on Non-IID Data ICLR 2020 Personalized Federated Learning with Moreau Envelopes NeurIPS 2020 Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach NeurIPS 2020 Practical Federated Gradient Boosting Decision Trees AAAI 2020 Privacy Amplification via Random Check-Ins NeurIPS 2020 Privacy-Preserving News Recommendation Model Learning EMNLP 2020 Private Outsourced Bayesian Optimization ICML 2020 Private Protocols for U-Statistics in the Local Model and Beyond AISTATS 2020 Robust Federated Learning via Collaborative Machine Teaching AAAI 2020 SCAFFOLD: Stochastic Controlled Averaging for Federated Learning ICML 2020 Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking NeurIPS 2020 Sequence-Level Self-Learning with Multiple Hypotheses Interspeech 2020 Smoothed Analysis of Online and Differentially Private Learning NeurIPS 2020 Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization NeurIPS 2020 TextHide: Tackling Data Privacy in Language Understanding Tasks EMNLP 2020 Throughput-Optimal Topology Design for Cross-Silo Federated Learning NeurIPS 2020 Training Keyword Spotting Models on Non-IID Data with Federated Learning Interspeech 2020