most citedTowards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2024

Federated Learning Client Pruning for Noisy Labels

Mahdi Morafah, Hojin Chang, Chen Chen +1

Federated Learning (FL) enables collaborative model training across decentralized edge devices while preserving data privacy. However, existing FL methods often assume clean annota…

cs.LG2024★ 1 cited

Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration

Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Chang +2

Federated Learning has emerged as a promising paradigm for collaborative machine learning, while preserving user data privacy. Despite its potential, standard FL lacks support for…