147 citations · 148 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Fairness-Aware Job Scheduling for Multi-Job Federated Learning
Yuxin Shi, Han Yu
Federated learning (FL) enables multiple data owners (a.k.a. FL clients) to collaboratively train machine learning models without disclosing sensitive private data. Existing FL res…
cs.LG2023★ 1 cited
Fairness-Aware Client Selection for Federated Learning
Yuxin Shi, Zelei Liu, Zhuan Shi +1
Federated learning (FL) has enabled multiple data owners (a.k.a. FL clients) to train machine learning models collaboratively without revealing private data. Since the FL server ca…
cs.LG2021★ 147 cited
Towards Fairness-Aware Federated Learning
Yuxin Shi, Han Yu, Cyril Leung
Recent advances in Federated Learning (FL) have brought large-scale collaborative machine learning opportunities for massively distributed clients with performance and data privacy…