Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent

Pedro J. Soto, Ilia Ilmer, Haibin Guan, Jun Li 0017. Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 20444-20458, PMLR, 2022. [doi]

Abstract

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