most citedFedLBW: A Loss-Based Weighting Strategy for Federated Learning on Non-IID Data in Wireless Networks

2 citations · 3 across the 3 of their papers we have counts for

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cs.LG2026

FedCSGA: Evolutionary Client Selection with Joint Statistical and System Heterogeneity in Federated Learning

Ghani Haider, Majid Kundroo, Leo Zhang +2

Federated Learning (FL) enables collaborative training of machine learning models across distributed clients while preserving data privacy. In practical deployments, FL relies on s…

cs.LG2026★ 1 cited

FedTVD: Balancing Data Quality and Quantity for Robust Federated Learning

Radwan Selo, Majid Kundroo, Taehong Kim

Federated Learning (FL) enables collaborative model training across distributed client devices while preserving data privacy. However, FL faces significant challenges due to data h…