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

• المؤلفون الرئيسيون: Qiu, Hongyu, Wang, Yongwei, Xu, Yonghui, Cui, Lizhen, Shen, Zhiqi
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2024
• الموضوعات: Computer and Information Science; Federated learning; Machine unlearning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/173926
• المؤسسة: 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...