June 2, 2022, 1:11 a.m. | Eduard Gorbunov, Samuel Horváth, Peter Richtárik, Gauthier Gidel

cs.LG updates on arXiv.org arxiv.org

Byzantine-robustness has been gaining a lot of attention due to the growth of
the interest in collaborative and federated learning. However, many fruitful
directions, such as the usage of variance reduction for achieving robustness
and communication compression for reducing communication costs, remain weakly
explored in the field. This work addresses this gap and proposes Byz-VR-MARINA
- a new Byzantine-tolerant method with variance reduction and compression. A
key message of our paper is that variance reduction is key to fighting
Byzantine …

arxiv assumptions communication compression top variance

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior AI & Data Engineer

@ Bertelsmann | Kuala Lumpur, 14, MY, 50400

Analytics Engineer

@ Reverse Tech | Philippines - Remote