Privacy-preserving asynchronous federated learning framework in distributed IoT

• Main Authors: YAN, Xinru, MIAO, Yinbin, LI, Xinghua, CHOO, Kim-Kwang Raymond, MENG, Xiangdong, DENG, Robert H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Asynchronous training; blockchain; differential privacy (DP); federated learning (FL); Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/8188
• Institution: Singapore Management University

To solve the data island issue in the distributed Internet of Things (IoT) without privacy leakage, privacy-preserving federated learning (PPFL) has been extensively explored in both academic and industrial fields. However, existing PPFL solutions still suffer from a single point of failure and incu...