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Distributed Learning

157 papers

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Papers

Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation L4DC 2020
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020
Data-Driven Distributed Predictive Control via Network Optimization L4DC 2020
FlightTracker: Consistency across Read-Optimized Online Stores at Facebook OSDI 2020
Microsecond Consensus for Microsecond Applications OSDI 2020
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning AAAI 2019
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training EMNLP 2019
Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning JMLR 2019
Optimal Convergence Rates for Convex Distributed Optimization in Networks JMLR 2019
Monoxide: Scale out Blockchains with Asynchronous Consensus Zones NSDI 2019
dShark: A General, Easy to Program and Scalable Framework for Analyzing In-network Packet Traces NSDI 2019
Very Large-Scale Global SfM by Distributed Motion Averaging CVPR 2018
Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy ICML 2018
A Distributed Second-Order Algorithm You Can Trust ICML 2018
A Decentralised Approach to Intersection Traffic Management IJCAI 2018
Distributed Pareto Optimization for Subset Selection IJCAI 2018
Distributed Primal-Dual Optimization for Non-uniformly Distributed Data IJCAI 2018
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018
A Model of Distributed Query Computation in Client-Server Scenarios on the Semantic Web IJCAI 2018
Distributing Frank-Wolfe via Map-Reduce IJCAI 2018
An efficient distributed learning algorithm based on effective local functional approximations JMLR 2018
Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods JMLR 2018
Collaborative Deep Learning in Fixed Topology Networks NIPS 2017
Decentralized Collaborative Learning of Personalized Models over Networks AISTATS 2017