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20232026
most citedOptimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis

2 citations · 2 across the 9 of their papers we have counts for

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cs.LG2025

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning

Xin Chen, Shuaijun Chen, Omid Tavallaie +3

Federated Learning (FL) enables collaborative model training across decentralized data sources while preserving data privacy. However, the growing size of Machine Learning (ML) mod…

cs.LG2025

Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data

Seunghyun Lee, Omid Tavallaie, Shuaijun Chen +4

Accommodating edge networks between IoT devices and the cloud server in Hierarchical Federated Learning (HFL) enhances communication efficiency without compromising data privacy. H…