4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design
Mahdi Morafah, Weijia Wang, Bill Lin
Federated Learning (FL) has been an area of active research in recent years. There have been numerous studies in FL to make it more successful in the presence of data heterogeneity…
cs.LG2022★ 4 cited
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution
Mahdi Morafah, Saeed Vahidian, Weijia Wang +1
Classical federated learning approaches yield significant performance degradation in the presence of Non-IID data distributions of participants. When the distribution of each local…