A Novel Federated Learning Model Aggregation Method Empowered by Coordination of Computing and Networking

• Published in: 2023 International Conference on Networks, Communications and Intelligent Computing (NCIC) pp. 61 - 67
• Main Authors: Wang, Shoufeng, Chen, Hua-Min, Guo, Jianchao, Ouyang, Ye, Li, Fan, Chen, Xuan, Li, Yun, Ma, Leiming, Sun, Jie, Wang, Shuling
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17.11.2023
• Subjects: 6G mobile communication; Cloud computing; Computational modeling; Coordination of Computing and Networking; Data privacy; Federated learning; Industries; Training

Federated learning is a machine learning training paradigm that enables model training under data privacy constraints. Its distinguishing capability is the ability to train models without requiring participating parties to share private data. However, model training and aggregation in federated lear...