distributed optimization

Federated Conditional Stochastic Optimization NeurIPS 2023 Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds NeurIPS 2023 Federated Multi-Objective Learning NeurIPS 2023 FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability AAAI 2023 FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy ICLR 2023 Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NeurIPS 2023 GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023 Momentum Provably Improves Error Feedback! NeurIPS 2023 On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network AISTATS 2023 On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023 Optimal Shrinkage for Distributed Second-Order Optimization ICML 2023 Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities NeurIPS 2023 Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function ICML 2023 Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis NeurIPS 2023 Top-k data selection via distributed sample quantile inference L4DC 2023 Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? NeurIPS 2023 Acceleration in Distributed Optimization under Similarity AISTATS 2022 A Reliability-aware Distributed Framework to Schedule Residential Charging of Electric Vehicles IJCAI 2022 A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms ICML 2022 Asymptotic Network Independence and Step-Size for a Distributed Subgradient Method JMLR 2022 Asynchronous Distributed Optimization with Stochastic Delays AISTATS 2022 A Unified Analysis of Federated Learning with Arbitrary Client Participation NeurIPS 2022 Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning AISTATS 2022 Beyond spectral gap: the role of the topology in decentralized learning NeurIPS 2022 Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums ICML 2022