distributed learning

Cooperative Multi-player Bandit Optimization NeurIPS 2020 CSER: Communication-efficient SGD with Error Reset NeurIPS 2020 Decentralised Learning with Random Features and Distributed Gradient Descent ICML 2020 Decentralized Accelerated Proximal Gradient Descent NeurIPS 2020 Decentralized Deep Learning with Arbitrary Communication Compression ICLR 2020 Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication ICLR 2020 Distributed Distillation for On-Device Learning NeurIPS 2020 Distributed Feature Screening via Componentwise Debiasing JMLR 2020 Distributed Kernel Ridge Regression with Communications JMLR 2020 Distributed Minimum Error Entropy Algorithms JMLR 2020 Distributed Summation Privacy for Speech Enhancement Interspeech 2020 Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms NeurIPS 2020 Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes JMLR 2020 D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems AAAI 2020 Dual-Free Stochastic Decentralized Optimization with Variance Reduction NeurIPS 2020 Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy AISTATS 2020 Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks NeurIPS 2020 FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020 Gap-Aware Mitigation of Gradient Staleness ICLR 2020 Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent JMLR 2020 InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020 Linearly Converging Error Compensated SGD NeurIPS 2020 Minibatch vs Local SGD for Heterogeneous Distributed Learning NeurIPS 2020 Moniqua: Modulo Quantized Communication in Decentralized SGD ICML 2020 Mutual Transfer Learning for Massive Data ICML 2020