GTG-shapley: efficient and accurate participant contribution evaluation in federated learning

• Main Authors: Liu, Zelei, Chen, Yuanyuan, Yu, Han, Liu, Yang, Cui, Lizhen
• Other Authors: College of Computing and Data Science
• Format: Article
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Artificial intelligence; Federated learning
• Online Access: https://hdl.handle.net/10356/179060
• Institution: Nanyang Technological University

Federated Learning (FL) bridges the gap between collaborative machine learning and preserving data privacy. To sustain the long-term operation of an FL ecosystem, it is important to attract high-quality data owners with appropriate incentive schemes. As an important building block of such incentive...