most citedCSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning

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cs.DC2023★ 1 cited

CSMAAFL: Client Scheduling and Model Aggregation in Asynchronous Federated Learning

Xiang Ma, Qun Wang, Haijian Sun +2

Asynchronous federated learning aims to solve the straggler problem in heterogeneous environments, i.e., clients have small computational capacities that could cause aggregation de…

cs.DC2023

Approximate Wireless Communication for Federated Learning

Xiang Ma, Haijian Sun, Rose Qingyang Hu +1

This paper presents an approximate wireless communication scheme for federated learning (FL) model aggregation in the uplink transmission. We consider a realistic channel that reve…