Fast-convergent federated learning with class-weighted aggregation

• Published in: Journal of systems architecture Vol. 117; p. 102125
• Main Authors: Ma, Zezhong, Zhao, Mengying, Cai, Xiaojun, Jia, Zhiping
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.08.2021
• Subjects: Aggregation; Federated learning; Non-IID Data; Aggregation; Federated learning; Non-IID Data

Recently, federated learning has attracted great attention due to its advantage of enabling model training in a distributed manner. Instead of uploading data for centralized training, it allows devices to keep local data private and only send parameters to server. Then the server aggregates local mo...