418 citations · 497 across the 6 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.NI2020★ 60 cited
Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach
Jin Wang, Jia Hu, Geyong Min +2
Multi-access Edge Computing (MEC) is an emerging computing paradigm that extends cloud computing to the network edge to support resource-intensive applications on mobile devices. A…
cs.DC2020★ 418 cited
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning
Jin Wang, Jia Hu, Geyong Min +2
Multi-access edge computing (MEC) aims to extend cloud service to the network edge to reduce network traffic and service latency. A fundamental problem in MEC is how to efficiently…
cs.LG2020★ 17 cited
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing
Jed Mills, Jia Hu, Geyong Min
Federated Learning (FL) is an emerging approach for collaboratively training Deep Neural Networks (DNNs) on mobile devices, without private user data leaving the devices. Previous…