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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

An Improved Analysis of Gradient Tracking for Decentralized Machine Learning NIPS 2021
The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021
Distributed Machine Learning with Sparse Heterogeneous Data NIPS 2021
Communication-efficient SGD: From Local SGD to One-Shot Averaging NIPS 2021
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks NIPS 2021
Escaping Saddle Points with Compressed SGD NIPS 2021
TAG: Gradient Attack on Transformer-based Language Models EMNLP 2021
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference JMLR 2021
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning) NIPS 2021
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning NIPS 2021
Federated-EM with heterogeneity mitigation and variance reduction NIPS 2021
Preserved central model for faster bidirectional compression in distributed settings NIPS 2021
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition AAAI 2021
A Flexible Framework for Communication-Efficient Machine Learning AAAI 2021
Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms JMLR 2021
LocalNewton: Reducing communication rounds for distributed learning UAI 2021
Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning NIPS 2021
ErrorCompensatedX: error compensation for variance reduced algorithms NIPS 2021
Local SGD: Unified Theory and New Efficient Methods AISTATS 2021
BASGD: Buffered Asynchronous SGD for Byzantine Learning ICML 2021
Consensus Control for Decentralized Deep Learning ICML 2021
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks ICML 2021
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021
Assisted Learning: A Framework for Multi-Organization Learning NIPS 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching ICML 2020