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35 papers

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EF

Co-occurring keywords · papers mentioning both

communication compression (14) gradient compression (11) stochastic gradient descent (10) distributed learning (9) communication efficiency (8) distributed optimization (8) federated learning (7) distributed training (6) stochastic optimization (5) convergence rate (4)

Papers

Detached Error Feedback for Distributed SGD with Random Sparsification ICML 2022 EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NeurIPS 2022 On Distributed Adaptive Optimization with Gradient Compression ICLR 2022 A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning ICLR 2021 EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback NeurIPS 2021 Rethinking gradient sparsification as total error minimization NeurIPS 2021 Step-Ahead Error Feedback for Distributed Training with Compressed Gradient AAAI 2021 Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning AAAI 2020 The Error-Feedback framework: SGD with Delayed Gradients JMLR 2020 Error Feedback Fixes SignSGD and other Gradient Compression Schemes ICML 2019