27 citations · 51 across the 11 of their papers we have counts for
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cs.NI2022★ 2 cited
Social Welfare Maximization for Collaborative Edge Computing: A Deep Reinforcement Learning-Based Approach
Xingqiu He, Yuhang Shen, Hongxi Zhu +3
Collaborative Edge Computing (CEC) is an effective method that improves the performance of Mobile Edge Computing (MEC) systems by offloading computation tasks from busy edge server…
cs.LG2022★ 27 cited
Semi-Synchronous Personalized Federated Learning over Mobile Edge Networks
Chaoqun You, Daquan Feng, Kun Guo +2
Personalized Federated Learning (PFL) is a new Federated Learning (FL) approach to address the heterogeneity issue of the datasets generated by distributed user equipments (UEs). H…
cs.NI2022★ 1 cited
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations
Marie Siew, Shikhar Sharma, Zekai Li +5
In edge computing, users' service profiles are migrated due to user mobility. Reinforcement learning (RL) frameworks have been proposed to do so, often trained on simulated data. H…