conftrace_

distributed optimization

275 papers

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Co-occurring keywords

federated learning (1333) communication efficiency (297) distributed learning (563) stochastic gradient descent (1091) convex optimization (1321) stochastic optimization (1060) communication complexity (99) variance reduction (523) communication compression (55) non-convex optimization (547)

Papers

Delay-Adaptive Distributed Stochastic Optimization AAAI 2020
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization NIPS 2020
FedSplit: an algorithmic framework for fast federated optimization NIPS 2020
DINO: Distributed Newton-Type Optimization Method ICML 2020
Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation L4DC 2020
DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate AISTATS 2020
Is Local SGD Better than Minibatch SGD? ICML 2020
Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators (Extended Abstract) IJCAI 2020
Manifold Identification for Ultimately Communication-Efficient Distributed Optimization ICML 2020
From Local SGD to Local Fixed-Point Methods for Federated Learning ICML 2020
Distributed Online Optimization over a Heterogeneous Network with Any-Batch Mirror Descent ICML 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction AISTATS 2020
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization ICML 2020
99% of Worker-Master Communication in Distributed Optimization Is Not Needed UAI 2020
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach ICML 2020
Distributed Newton Can Communicate Less and Resist Byzantine Workers NIPS 2020
Distributed Stochastic Gradient Descent with Event-Triggered Communication AAAI 2020
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization NIPS 2020
Online Convex Optimization Over Erdos-Renyi Random Networks NIPS 2020
Minibatch vs Local SGD for Heterogeneous Distributed Learning NIPS 2020
Federated Accelerated Stochastic Gradient Descent NIPS 2020
Distributed Primal-Dual Optimization for Online Multi-Task Learning AAAI 2020
Optimal Convergence Rates for Convex Distributed Optimization in Networks JMLR 2019
Double Quantization for Communication-Efficient Distributed Optimization NIPS 2019