… for local model training, which is in fact non-negligible for edge devices… energy constraints
of devices by designing an energy-aware dynamic device scheduling algorithm, where energy …

… a federated edge learning system, in which an edge server coordinates a set of edge …
of federated edge learning is fundamentally constrained by the communication between the …

… energy consuming, while most edge devices especially sensors have limited battery lives. …
for minimizing the total device energyconsumption under a constraint on the learning speed. …

… -constrained VUs. In this work, we aim to optimize the VN performance in terms of latency
and energy … a constrained optimization problem to jointly minimize the overall latency and the …

… edge for the optimal learning performance. We consider a typical edge computing architecture
where edge … The raw data is collected and stored at multiple edge nodes, and a machine …

… consumption for one global round, ensuring the energy constraints of the mobile devices.
• The uplink radio resource management of the edge server and the dataset offloading of the …

… In Federated edge learning (FEEL), energyconstrained devices at the network edge consume
significant energy … This work proposes novel solutions for energy-efficient FEEL by jointly …

… energy budget existing at edge workers. Therefore, it is clear that training the local models
involves computation and communication costs and energy constraints … edge devices’ energy …

… of the federated edge intelligence (FEI)-based IoT system and then present the energy …
By rearranging inequality (10), we can get the constraint of T on ϵ and obtain the optimal T…

… wireless networks are energyconstrained, the energy consumed to … federated edge
learning network with heterogeneous computation to escalate the energy efficiency of federated …