192 citations · 760 across the 38 of their papers we have counts for
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cs.LG2023
Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling
Yuxi Zhao, Xiaowen Gong, Shiwen Mao
Federated learning (FL) has emerged as a promising paradigm that trains machine learning (ML) models on clients' devices in a distributed manner without the need of transmitting cl…
cs.LG2018★ 27 cited
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning
Xianfu Chen, Honggang Zhang, Celimuge Wu +3
To improve the quality of computation experience for mobile devices, mobile-edge computing (MEC) is a promising paradigm by providing computing capabilities in close proximity with…