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Distributed Learning

123 directly classified papers

Papers per year

Papers

Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation NIPS 2021
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression NIPS 2021
Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo) AAAI 2021
A Flexible Framework for Communication-Efficient Machine Learning AAAI 2021
Communication Efficient SGD via Gradient Sampling With Bayes Prior CVPR 2021
Model-Contrastive Federated Learning CVPR 2021
Communication-Aware Collaborative Learning AAAI 2021
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning) NIPS 2021
Communication-efficient SGD: From Local SGD to One-Shot Averaging NIPS 2021
Distributed Machine Learning with Sparse Heterogeneous Data NIPS 2021
Statistical Guarantees of Distributed Nearest Neighbor Classification NIPS 2020
Stochastic Optimization with Laggard Data Pipelines NIPS 2020
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets NIPS 2020
Coded Sequential Matrix Multiplication For Straggler Mitigation NIPS 2020
On the Acceleration of Deep Learning Model Parallelism With Staleness CVPR 2020
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks NIPS 2020
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning AAAI 2020
Fall of Empires: Breaking Byzantine-tolerant SGD by Inner Product Manipulation UAI 2019
Distributed Inference for Linear Support Vector Machine JMLR 2019
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning AAAI 2019
Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks CVPR 2019
Order Optimal One-Shot Distributed Learning NIPS 2019
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback NIPS 2019