Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point. (arXiv:2203.13950v2 [cs.LG] UPDATED)

We propose cooperative edge-assisted dynamic federated learning (CE-FL).
CE-FL introduces a distributed machine learning (ML) architecture, where data
collection is carried out at the end devices, while the model training is
conducted cooperatively at the end devices and the edge servers, enabled via
data offloading from the end devices to the edge servers through base stations.
CE-FL also introduces floating aggregation point, where the local models
generated at the devices and the servers are aggregated at an edge server,
which …

aggregation arxiv edge federated learning server