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

Multi-Context System for Optimization Problems AAAI 2019
Exploring Fast and Communication-Efficient Algorithms in Large-Scale Distributed Networks AISTATS 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization NIPS 2019
Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local Computations NIPS 2019
Distributed estimation of the inverse Hessian by determinantal averaging NIPS 2019
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback NIPS 2019
Order Optimal One-Shot Distributed Learning NIPS 2019
Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning JMLR 2019
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization ICML 2019
A Communication Efficient Stochastic Multi-Block Alternating Direction Method of Multipliers NIPS 2019
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NIPS 2019
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019
New Convergence Aspects of Stochastic Gradient Algorithms JMLR 2019
Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks IJCAI 2019
Combining ADMM and the Augmented Lagrangian Method for Efficiently Handling Many Constraints IJCAI 2019
Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization ICML 2019
Learning and Data Selection in Big Datasets ICML 2019
Distributed Low-rank Matrix Factorization With Exact Consensus NIPS 2019
DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization JMLR 2019
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters NIPS 2018
Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters JMLR 2018
CoCoA: A General Framework for Communication-Efficient Distributed Optimization JMLR 2018
COLA: Decentralized Linear Learning NIPS 2018
Gradient Sparsification for Communication-Efficient Distributed Optimization NIPS 2018
Byzantine Stochastic Gradient Descent NIPS 2018