1 citations · 1 across the 5 of their papers we have counts for
5 papers
Multi-Server FL with Overlapping Clients: A Latency-Aware Relay Framework
Yun Ji, Zeyu Chen, Xiaoxiong Zhong +3
Multi-server Federated Learning (FL) has emerged as a promising solution to mitigate communication bottlenecks of single-server FL. In a typical multi-server FL architecture, the r…
Flow of Knowledge: Federated Fine-Tuning of LLMs in Healthcare under Non-IID Conditions
Zeyu Chen, Yun Ji, Bowen Wang +3
Large language models (LLMs) show great promise in healthcare, but their applications are hindered by data privacy restrictions and the challenges of cross-institution collaboratio…
FedOC: Multi-Server FL with Overlapping Client Relays in Wireless Edge Networks
Yun Ji, Zeyu Chen, Xiaoxiong Zhong +3
Multi-server Federated Learning (FL) has emerged as a promising solution to mitigate communication bottlenecks of single-server FL. We focus on a typical multi-server FL architectu…
Asynchronous Federated Learning with Incentive Mechanism Based on Contract Theory
Danni Yang, Yun Ji, Zhoubin Kou +2
To address the challenges posed by the heterogeneity inherent in federated learning (FL) and to attract high-quality clients, various incentive mechanisms have been employed. Howev…
A Multi-User Effective Computation Offloading Mechanism for MEC System: Batched Multi-Armed Bandits Approach
Hangfan Li, Xiaoxiong Zhong, Xinghan Wang +2
With the development of 5G technology, mobile edge computing (MEC) is becoming a useful architecture, which is envisioned as a cloud computing extension version. Users within MEC s…