When information freshness meets service latency in federated learning : a task-aware incentive scheme for smart industries

• Main Authors: Lim, Bryan Wei Yang, Xiong, Zehui, Kang, Jiawei, Niyato, Dusit, Leung, Cyril, Miao, Chunyan, Shen, Xuemin
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Federated Learning; Age of Information
• Online Access: https://hdl.handle.net/10356/152724
• Institution: Nanyang Technological University

For several industrial applications, a sole data owner may lack sufficient training samples to train effective machine learning based models. As such, we propose a Federated Learning (FL) based approach to promote privacy-preserving collaborative machine learning for applications in smart industries...