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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
Multi-dimensional Fair Federated Learning
Cong Su, Guoxian Yu, Jun Wang +3
Federated learning (FL) has emerged as a promising collaborative and secure paradigm for training a model from decentralized data without compromising privacy. Group fairness and c…