… management for network edge, specially for federated learning. In this paper, we describe
the recent work on resource management at the edge and … of federated learning at the edge. …

… Recently, multiple forms of edge resources, including mobile device clouds and micro-edge …
We study FL concepts in the domain of edge computing for IoT use cases, such as caching. …

… learning to efficiently deal with the heterogeneous resources among massive edge devices.
We propose a neural-structure-aware resource management approach, where mobile …

… and resource constrained devices is a main challenge faced in the implementation of edge
… In this work, we address the issue of energy-efficient implementation of federated edge …

… training efficiency of the IoT-edge FL system in wireless networks… of the optimal resource
management solution, our proposed … resource management strategy to wisely allocate resource …

… radio resource management of the edge server and the dataset offloading of the mobile
devices are formulated as a GNEP to focus on the coupling among the resource management. …

… , a distributed resource management … resource management involves edge resource
borrowing and lending, its pricing-based optimization algorithms will play a key role in resource …

… Among others, the framework of federated edge learning (… at edge devices over wireless
links. In this work, we explore the new direction of energy-efficient radio resource management (…

… We focus on the resource management problem of sampling clients in each round taking
into account communication, compute and statistical heterogeneity with the goal of reducing …

… offloading and resource management of Vehicular Edge Computing for Federated learning
… We aim to provide a brief review of the Computational offloading and resource management …