Grigory Malinovsky

Federated Learning with Regularized Client Participation

2023 · arXiv (Cornell University)

Federated Learning (FL) is a distributed machine learning approach where multiple clients work together to solve a machine learning task. One of the key challenges in FL is the issue of partial participation, which occurs …

MAST: Model-Agnostic Sparsified Training

2023 · arXiv (Cornell University)

We introduce a novel optimization problem formulation that departs from the conventional way of minimizing machine learning model loss as a black-box function. Unlike traditional formulations, the proposed approach explicitly incorporates an initially pre-trained model …