1 citations · 1 across the 10 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2025
The Cost of Local and Global Fairness in Federated Learning
Yuying Duan, Gelei Xu, Yiyu Shi +1
With the emerging application of Federated Learning (FL) in finance, hiring and healthcare, FL models are regulated to be fair, preventing disparities with respect to legally prote…
cs.LG2024
Enabling On-Device Learning via Experience Replay with Efficient Dataset Condensation
Gelei Xu, Ningzhi Tang, Jun Xia +2
Upon deployment to edge devices, it is often desirable for a model to further learn from streaming data to improve accuracy. However, extracting representative features from such d…
cs.LG2024★ 1 cited
Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Client
Jun Xia, Yi Zhang, Yiyu Shi
Although Federated Learning (FL) is promising in knowledge sharing for heterogeneous Artificial Intelligence of Thing (AIoT) devices, their training performance and energy efficacy…