J. Gregory Nash

MixML: A Unified Analysis of Weakly Consistent Parallel Learning

2020 · arXiv (Cornell University)

Parallelism is a ubiquitous method for accelerating machine learning algorithms. However, theoretical analysis of parallel learning is usually done in an algorithm- and protocol-specific setting, giving little insight about how changes in the structure of …