Distributed Learning

DINO: Distributed Newton-Type Optimization Method ICML 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 Machine Learning through Heterogeneous Edge Systems AAAI 2020 Distributed Minimum Error Entropy Algorithms JMLR 2020 Distributed Newton Can Communicate Less and Resist Byzantine Workers NeurIPS 2020 Distributed Online Optimization over a Heterogeneous Network with Any-Batch Mirror Descent ICML 2020 Distributed Primal-Dual Optimization for Online Multi-Task Learning AAAI 2020 Distributed Stochastic Gradient Descent with Event-Triggered Communication AAAI 2020 Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms NeurIPS 2020 Domain Compression and its Application to Randomness-Optimal Distributed Goodness-of-Fit COLT 2020 Don't Use Large Mini-batches, Use Local SGD ICLR 2020 Doubly Distributed Supervised Learning and Inference with High-Dimensional Correlated Outcomes JMLR 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 Empirical Studies of Institutional Federated Learning For Natural Language Processing EMNLP 2020 FEARLESS STEPS Challenge (FS-2): Supervised Learning with Massive Naturalistic Apollo Data Interspeech 2020 FedBoost: A Communication-Efficient Algorithm for Federated Learning ICML 2020 Federated Accelerated Stochastic Gradient Descent NeurIPS 2020 FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020 Fine-Grained Replicated State Machines for a Cluster Storage System NSDI 2020 From Local SGD to Local Fixed-Point Methods for Federated Learning ICML 2020 Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs AISTATS 2020