Decentralized Federated Learning with Model Caching on Mobile Agents

• Main Authors: Wang, Xiaoyu, Xiong, Guojun, Cao, Houwei, Li, Jian, Liu, Yong
• Format: Journal Article
• Language: English
• Published: 25.08.2024
• Subjects: Computer Science - Distributed, Parallel, and Cluster Computing; Computer Science - Learning

Federated Learning (FL) aims to train a shared model using data and computation power on distributed agents coordinated by a central server. Decentralized FL (DFL) utilizes local model exchange and aggregation between agents to reduce the communication and computation overheads on the central server...