Distributed Learning

Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums ICML 2022 Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing ICLR 2022 Byzantine-tolerant distributed multiclass sparse linear discriminant analysis UAI 2022 Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation CVPR 2022 Collaborative Learning by Detecting Collaboration Partners NeurIPS 2022 Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints NeurIPS 2022 Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization AISTATS 2022 Communication-efficient distributed eigenspace estimation with arbitrary node failures NeurIPS 2022 Communication-efficient Distributed Learning for Large Batch Optimization ICML 2022 Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate NeurIPS 2022 Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data ICML 2022 Coordinate Linear Variance Reduction for Generalized Linear Programming NeurIPS 2022 Correlated Quantization for Distributed Mean Estimation and Optimization ICML 2022 Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks NeurIPS 2022 Decentralized Training of Foundation Models in Heterogeneous Environments NeurIPS 2022 Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD AAAI 2022 Detached Error Feedback for Distributed SGD with Random Sparsification ICML 2022 DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery NeurIPS 2022 Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation EMNLP 2022 DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022 Distributed adversarial training to robustify deep neural networks at scale UAI 2022 Distributed Bootstrap for Simultaneous Inference Under High Dimensionality JMLR 2022 Distributed Distributionally Robust Optimization with Non-Convex Objectives NeurIPS 2022 Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems NeurIPS 2022 Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space NeurIPS 2022