FedCIO: efficient exact federated unlearning with clustering, isolation, and one-shot aggregation

• Main Authors: Qiu, Hongyu, Wang, Yongwei, Xu, Yonghui, Cui, Lizhen, Shen, Zhiqi
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Federated learning; Machine unlearning
• Online Access: https://hdl.handle.net/10356/173926
• Institution: Nanyang Technological University

Data are invaluable in machine learning (ML), yet they raise significant privacy concerns. In the real world, data are often distributed across isolated silos, challenging conventional ML methods that centralize data. Federated learning (FL) offers a privacy-preserving solution that enables learning...