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cs.LG2023
Asynchronous Federated Learning with Incentive Mechanism Based on Contract Theory
Danni Yang, Yun Ji, Zhoubin Kou +2
To address the challenges posed by the heterogeneity inherent in federated learning (FL) and to attract high-quality clients, various incentive mechanisms have been employed. Howev…
cs.LG2023★ 1 cited
Semi-Asynchronous Federated Edge Learning Mechanism via Over-the-air Computation
Zhoubin Kou, Yun Ji, Xiaoxiong Zhong +1
Over-the-air Computation (AirComp) has been demonstrated as an effective transmission scheme to boost the efficiency of federated edge learning (FEEL). However, existing FEEL syste…