Reliable federated learning for mobile networks

• Main Authors: Kang, Jiawen, Xiong, Zehui, Niyato, Dusit, Zou, Yuze, Zhang, Y., Guizani, M.
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Mobile Handsets; Task Analysis
• Online Access: https://hdl.handle.net/10356/154439
• Institution: Nanyang Technological University

Federated learning, as a promising machine learning approach, has emerged to leverage a distributed personalized dataset from a number of nodes, for example, mobile devices, to improve performance while simultaneously providing privacy preservation for mobile users. In federated learning, training d...