Francesco Malandrino

Unexpectedly Useful: Convergence Bounds And Real-World Distributed Learning

2023

Convergence bounds are one of the main tools to obtain information on the performance of a distributed machine learning task, before running the task itself. In this work, we perform a set of experiments to …