… constraints. In this article, we examine the existing challenges and trade-offs in Federated
Edge … Furthermore, energy and computational constraints limit both the size of the models that …

… Edge Computing (MEC) enables the enengy constrained … MEC enabled federated learning
model in which an edge server … By utilizing the edge sever in MEC system, users can offload …

… • We investigate the system optimization for SFL over resource-constrained edge systems.
We theoretically analyze the convergence bound of AdaptSFL, providing some intriguing …

… , edge dynamics and resource constraints, we propose an adaptive asynchronous federated
… We add the energy consumption %t and remaining energy budget Et to the state vector. …

… supply and computing resources at the edge devices are the critical constraints. In the … for
energy minimization in wireless federated edge learning networks. Firstly, we exploit the energy…

… for energy-efficient federated learning (FL) in mobile edge … , and ii) the overall energy
consumption of FL participants, includ… Ding, “Accelerating DNN training in wireless federated edge …

… alleviating the server energy constraints. A few … of energy-constrained edge servers. To fill
this gap, in this paper we propose a D2D-assisted FL mechanism for energy-constrained edge …

… -constrained devices with an idea offloading intensive computation tasks from them to edge
nodes… It can harvest energy units from edge nodes and store them in an energy queue with a …

… Given the limited computing capability and energy consumption of the involved edge …
By exploiting the structure of the objective function and constraints in (8), we design a low-…

… We also discuss the constrained resources in communication, computation, power, and …
To allocate resources for model training, we evaluate the energy and time costs for different …