Heterogeneous Computation and Resource Allocation for Wireless Powered Federated Edge Learning Systems

Article

Abstract: Federated learning (FL) is a popular edge learning approach that utilizes local data and computing r

Palabras claves:

Federated learning, heterogeneous computing (HC), multidimensional control variables, Resource allocation, Wireless power transfer (WPT)

Autores:

Feng J., Jinsong Wu, Lin X., Pei Q., Zhang W.

Fuentes:

scopus