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12/11/2021
Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement
The rapid uptake of intelligent applications is pushing deep learning (D...
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12/02/2021
Context-Aware Online Client Selection for Hierarchical Federated Learning
Federated Learning (FL) has been considered as an appealing framework to...
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02/02/2021
Autodidactic Neurosurgeon: Collaborative Deep Inference for Mobile Edge Intelligence via Online Learning
Recent breakthroughs in deep learning (DL) have led to the emergence of ...
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01/10/2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks
This paper studies a federated learning (FL) system, where multiple FL s...
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03/21/2019
Budget-constrained Edge Service Provisioning with Demand Estimation via Bandit Learning
Shared edge computing platforms, which enable Application Service Provid...
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12/11/2018
Task Offloading and Replication for Vehicular Cloud Computing: A Multi-Armed Bandit Approach
Vehicular Cloud Computing (VCC) is a new technological shift which explo...
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10/07/2018
Spatio-temporal Edge Service Placement: A Bandit Learning Approach
Shared edge computing platforms deployed at the radio access network are...
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06/20/2018
Adaptive Fog Configuration for the Industrial Internet of Things
Industrial Fog computing deploys various industrial services, such as au...
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01/17/2018
Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
Mobile Edge Computing (MEC) pushes computing functionalities away from t...
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09/25/2017
