Wireless Ad Hoc Federated Learning: A Fully Distributed Cooperative Machine Learning. (arXiv:2205.11779v1 [cs.LG])

Federated learning has allowed training of a global model by aggregating
local models trained on local nodes. However, it still takes client-server
model, which can be further distributed, fully decentralized, or even partially
connected, or totally opportunistic. In this paper, we propose a wireless ad
hoc federated learning (WAFL) -- a fully distributed cooperative machine
learning organized by the nodes physically nearby. Here, each node has a
wireless interface and can communicate with each other when they are within the …

ad arxiv distributed federated learning learning machine machine learning wireless