pfl-research: simulation framework for accelerating research in Private Federated Learning

arXiv:2404.06430v1 Announce Type: cross
Abstract: Federated learning (FL) is an emerging machine learning (ML) training paradigm where clients own their data and collaborate to train a global model, without revealing any data to the server and other participants. Researchers commonly perform experiments in a simulation environment to quickly iterate on ideas. However, existing open-source tools do not offer the efficiency required to simulate FL on larger and more realistic FL datasets. We introduce pfl-research, a fast, modular, and easy-to-use Python …

arxiv cs.ai cs.cr cs.cv cs.lg federated federated learning framework private research simulation