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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

Robust Learning from Untrusted Sources ICML 2019
Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation on Multi-Agent Reinforcement Learning ICML 2019
Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin ICML 2019
Decentralized Optimization with Edge Sampling IJCAI 2019
Multi-Agent Visualization for Explaining Federated Learning IJCAI 2019
A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression AAAI 2019
Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training EMNLP 2019
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks CVPR 2019
Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients NIPS 2019
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback NIPS 2019
SySCD: A System-Aware Parallel Coordinate Descent Algorithm NIPS 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets AAAI 2019
SepNE: Bringing Separability to Network Embedding AAAI 2019
Communication-efficient Distributed SGD with Sketching NIPS 2019
Decentralized Cooperative Stochastic Bandits NIPS 2019
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning NIPS 2019
Slow and Stale Gradients Can Win the Race: Error-Runtime Trade-offs in Distributed SGD AISTATS 2018
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning ICML 2018
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression ICML 2018
Communication Compression for Decentralized Training NIPS 2018
cpSGD: Communication-efficient and differentially-private distributed SGD NIPS 2018
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization IJCAI 2018
Gradient Coding from Cyclic MDS Codes and Expander Graphs ICML 2018
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation EMNLP 2018
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints COLT 2018