Towards fairness-aware federated learning

• Main Authors: Shi, Yuxin, Yu, Han, Leung, Cyril
• Other Authors: College of Computing and Data Science
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Federated learning; Fairness; Client selection; Data valuation; Incentive mechanism
• Online Access: https://hdl.handle.net/10356/179048
• Institution: Nanyang Technological University

Recent advances in Federated Learning (FL) have brought large-scale collaborative machine learning opportunities for massively distributed clients with performance and data privacy guarantees. However, most current works focus on the interest of the central controller in FL, and overlook the interes...