May 6, 2022 · The advances of both computation and communication technologies facilitate the exploitation of massive data generated by mobile devices.

We introduce the basic concepts of wireless FL, the main training process, and the latency model in this section. The main notations are summarized in Table I.

Federated learning (FL) was proposed to address these issues. In this paper, we propose FedPCC, an efficient approach based on the parallelism of communication ...

For instance, FedPCC optimizes the parallelism of communication and computation among devices, allowing for simultaneous downloading and local model training, ...

Federated learning (FL) was proposed to address these issues. In this paper, we propose FedPCC, an efficient approach based on the parallelism of communication ...

This work formulates a Federated Learning over wireless network as an optimization problem FEDL that captures both trade-offs and obtains the globally ...

FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks · Computer Science, Engineering. IEEE Transactions on Emerging ...

Nov 7, 2023 · Our optimization methodology aims to select the best combination of sampled nodes and data offloading configuration to maximize FedL training accuracy.

FedPCC: Parallelism of Communication and Computation for Federated Learning in Wireless Networks · Client Selection for Federated Learning with Heterogeneous ...

H. Zhang et al., FedPCC: parallelism of communication and computation for federated learning in wireless networks, in IEEE Transactions on Emerging Topics in ...