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distributed learning

563 papers

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Also known as

DL-DCL DML

Co-occurring keywords

federated learning (1320) stochastic gradient descent (1088) communication efficiency (297) distributed optimization (275) stochastic optimization (1060) decentralized optimization (113) communication complexity (99) distributed training (187) gradient compression (78) gradient descent (1143)

Papers

Training Gaussian Mixture Models at Scale via Coresets JMLR 2018
BML: A High-performance, Low-cost Gradient Synchronization Algorithm for DML Training NIPS 2018
Communication Efficient Parallel Algorithms for Optimization on Manifolds NIPS 2018
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization NIPS 2018
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights NIPS 2018
Distributed Weight Consolidation: A Brain Segmentation Case Study NIPS 2018
An efficient distributed learning algorithm based on effective local functional approximations JMLR 2018
Distributed Multi-Player Bandits - a Game of Thrones Approach NIPS 2018
Do Outliers Ruin Collaboration? ICML 2018
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training NIPS 2018
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark CORL 2018
Distributed Multitask Reinforcement Learning with Quadratic Convergence NIPS 2018
Parallelizing Spectrally Regularized Kernel Algorithms JMLR 2018
$D^2$: Decentralized Training over Decentralized Data ICML 2018
Asynchronous Decentralized Parallel Stochastic Gradient Descent ICML 2018
Asynchronous Byzantine Machine Learning (the case of SGD) ICML 2018
Communication-Computation Efficient Gradient Coding ICML 2018
MegDet: A Large Mini-Batch Object Detector CVPR 2018
Distributed Nonparametric Regression under Communication Constraints ICML 2018
ATOMO: Communication-efficient Learning via Atomic Sparsification NIPS 2018
LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning NIPS 2018
Snap ML: A Hierarchical Framework for Machine Learning NIPS 2018
Gradient Diversity: a Key Ingredient for Scalable Distributed Learning AISTATS 2018
The Convergence of Sparsified Gradient Methods NIPS 2018
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018