Distributed Optimization

Distributed Newton Can Communicate Less and Resist Byzantine Workers NeurIPS 2020 D-SPIDER-SFO: A Decentralized Optimization Algorithm with Faster Convergence Rate for Nonconvex Problems AAAI 2020 Federated Accelerated Stochastic Gradient Descent NeurIPS 2020 FedSplit: an algorithmic framework for fast federated optimization NeurIPS 2020 Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study ICML 2020 Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization NeurIPS 2020 A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers NeurIPS 2019 A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique AAAI 2019 A Linearly Convergent Proximal Gradient Algorithm for Decentralized Optimization NeurIPS 2019 An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums NeurIPS 2019 DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation NeurIPS 2019 DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NeurIPS 2019 Distributed estimation of the inverse Hessian by determinantal averaging NeurIPS 2019 Distributed Low-rank Matrix Factorization With Exact Consensus NeurIPS 2019 Double Quantization for Communication-Efficient Distributed Optimization NeurIPS 2019 Locally Private Learning without Interaction Requires Separation NeurIPS 2019 Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization NeurIPS 2019 Multi-Context System for Optimization Problems AAAI 2019 Order Optimal One-Shot Distributed Learning NeurIPS 2019 Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NeurIPS 2019 Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning NeurIPS 2019 A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning ICML 2018 Byzantine Stochastic Gradient Descent NeurIPS 2018 Communication Efficient Parallel Algorithms for Optimization on Manifolds NeurIPS 2018 Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters NeurIPS 2018