distributed optimization

Towards Tight Communication Lower Bounds for Distributed Optimisation NeurIPS 2021 vqSGD: Vector Quantized Stochastic Gradient Descent AISTATS 2021 99% of Worker-Master Communication in Distributed Optimization Is Not Needed UAI 2020 Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks AISTATS 2020 Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization ICML 2020 Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators (Extended Abstract) IJCAI 2020 Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction AISTATS 2020 Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020 DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate AISTATS 2020 Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization NeurIPS 2020 Delay-Adaptive Distributed Stochastic Optimization AAAI 2020 DINO: Distributed Newton-Type Optimization Method ICML 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 Estimating the Error of Randomized Newton Methods: A Bootstrap Approach ICML 2020 Fair Resource Allocation in Federated Learning ICLR 2020 Federated Accelerated Stochastic Gradient Descent NeurIPS 2020 FedSplit: an algorithmic framework for fast federated optimization NeurIPS 2020 Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation L4DC 2020 From Local SGD to Local Fixed-Point Methods for Federated Learning ICML 2020 Is Local SGD Better than Minibatch SGD? ICML 2020 Manifold Identification for Ultimately Communication-Efficient Distributed Optimization ICML 2020 Minibatch vs Local SGD for Heterogeneous Distributed Learning NeurIPS 2020