Towards Energy Efficient Distributed Federated Learning for 6G Networks. (arXiv:2201.08270v1 [cs.LG])

The provision of communication services via portable and mobile devices, such
as aerial base stations, is a crucial concept to be realized in 5G/6G networks.
Conventionally, IoT/edge devices need to transmit the data directly to the base
station for training the model using machine learning techniques. The data
transmission introduces privacy issues that might lead to security concerns and
monetary losses. Recently, Federated learning was proposed to partially solve
privacy issues via model-sharing with base station. However, the centralized
nature …

arxiv distributed energy federated learning learning networks