Modeling and Analysis of Intermittent Federated Learning Over Cellular-Connected UAV Networks. (arXiv:2110.07077v3 [cs.LG] UPDATED)

Federated learning (FL) is a promising distributed learning technique
particularly suitable for wireless learning scenarios since it can accomplish a
learning task without raw data transportation so as to preserve data privacy
and lower network resource consumption. However, current works on FL over
wireless networks do not profoundly study the fundamental performance of FL
over wireless networks that suffers from communication outage due to channel
impairment and network interference. To accurately exploit the performance of
FL over wireless networks, this …

analysis arxiv cellular federated learning intermittent learning modeling networks