Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data - researchr publication related

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Deepesh Data, Suhas N. Diggavi. Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data. In Marina Meila, Tong Zhang 0001, editors, Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event. Volume 139 of Proceedings of Machine Learning Research, pages 2478-2488, PMLR, 2021. [doi]

The following publications are possibly variants of this publication:

Byzantine-Resilient SGD in High Dimensions on Heterogeneous DataDeepesh Data, Suhas N. Diggavi. isit 2021: 2310-2315 [doi]

On Byzantine-Resilient High-Dimensional Stochastic Gradient DescentDeepesh Data, Suhas N. Diggavi. isit 2020: 2628-2633 [doi]

Byzantine-Resilient High-Dimensional Federated LearningDeepesh Data, Suhas N. Diggavi. TIT, 69(10):6639-6670, October 2023. [doi]

Qsparse-local-SGD: Distributed SGD with Quantization, Sparsification and Local ComputationsDebraj Basu 0001, Deepesh Data, Can Karakus, Suhas N. Diggavi. nips 2019: 14668-14679 [doi]

Qsparse-Local-SGD: Distributed SGD With Quantization, Sparsification, and Local ComputationsDebraj Basu 0001, Deepesh Data, Can Karakus, Suhas N. Diggavi. jsait, 1(1):217-226, 2020. [doi]

Data Encoding Methods for Byzantine-Resilient Distributed OptimizationDeepesh Data, Linqi Song, Suhas N. Diggavi. isit 2019: 2719-2723 [doi]

Data Encoding for Byzantine-Resilient Distributed Gradient DescentDeepesh Data, Linqi Song, Suhas N. Diggavi. allerton 2018: 863-870 [doi]

Data Encoding for Byzantine-Resilient Distributed OptimizationDeepesh Data, Linqi Song, Suhas N. Diggavi. TIT, 67(2):1117-1140, 2021. [doi]

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