distributed learning

Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity NeurIPS 2023 Robust Heterogeneous Federated Learning under Data Corruption ICCV 2023 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract) IJCAI 2023 Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods AISTATS 2023 SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient ICML 2023 Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning NeurIPS 2023 Towards Sharp Analysis for Distributed Learning with Random Features IJCAI 2023 Understanding Deep Gradient Leakage via Inversion Influence Functions NeurIPS 2023 Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top ICLR 2023 Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization ICCV 2023 Accelerated Federated Learning with Decoupled Adaptive Optimization ICML 2022 An Equivalence Between Data Poisoning and Byzantine Gradient Attacks ICML 2022 A Resilient Distributed Boosting Algorithm ICML 2022 A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization NeurIPS 2022 AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract) AAAI 2022 Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays NeurIPS 2022 Beyond spectral gap: the role of the topology in decentralized learning NeurIPS 2022 Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing ICLR 2022 Byzantine-tolerant distributed multiclass sparse linear discriminant analysis UAI 2022 Byzantine-tolerant federated Gaussian process regression for streaming data NeurIPS 2022 CalFAT: Calibrated Federated Adversarial Training with Label Skewness NeurIPS 2022 Can we Generalize and Distribute Private Representation Learning? AISTATS 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