Federated Learning Over Energy Harvesting Wireless Networks

Simulation results show that the proposed user scheduling and user association algorithm can reduce training loss compared to a standard FL algorithm. [6/6 of https://t.co/wX7bd9aF4z]

system model is extended by considering multiple BSs. Hence, a joint user association and scheduling problem in FL over wireless systems is studied. The optimal user association problem is solved using the branch-and-bound technique. [5/6 of https://t.c…

affect the training loss, the convergence rate of the FL algorithm is first analyzed. Given this analytical result, the user scheduling and energy management optimization problem can be decomposed, simplified, and solved. Further, the [4/6 of https://t.…

systems is formulated. This problem is formulated as an optimization problem whose goal is to minimize the FL training loss via optimizing user scheduling. To find how the factors such as transmit power and number of scheduled users [3/6 of https://t.co…