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05/16/2023
Faster Federated Learning with Decaying Number of Local SGD Steps
In Federated Learning (FL) client devices connected over the internet co...
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12/09/2021
Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection
Accurate and efficient pedestrian detection is crucial for the intellige...
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09/12/2021
Federated Ensemble Model-based Reinforcement Learning
Federated learning (FL) is a privacy-preserving machine learning paradig...
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08/20/2021
Accelerating Federated Learning with a Global Biased Optimiser
Federated Learning (FL) is a recent development in the field of machine ...
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12/16/2020
Online Service Migration in Edge Computing with Incomplete Information: A Deep Recurrent Actor-Critic Method
Multi-access Edge Computing (MEC) is a key technology in the fifth-gener...
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08/05/2020
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning
Multi-access edge computing (MEC) aims to extend cloud service to the ne...
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07/17/2020
User-Oriented Multi-Task Federated Deep Learning for Mobile Edge Computing
Federated Learning (FL) is a recent approach for collaboratively trainin...
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04/07/2020
