Scalable and Low-Latency Federated Learning with Cooperative Mobile Edge Networking. (arXiv:2205.13054v1 [cs.DC])

Federated learning (FL) enables collaborative model training without
centralizing data. However, the traditional FL framework is cloud-based and
suffers from high communication latency. On the other hand, the edge-based FL
framework that relies on an edge server co-located with access point for model
aggregation has low communication latency but suffers from degraded model
accuracy due to the limited coverage of edge server. In light of high-accuracy
but high-latency cloud-based FL and low-latency but low-accuracy edge-based FL,
this paper proposes a …

arxiv edge federated learning learning mobile networking scalable