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11/06/2022
Collaborative Video Analytics on Distributed Edges with Multiagent Deep Reinforcement Learning
Deep Neural Network (DNN) based video analytics empowers many computer v...
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07/24/2022
Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges
Data drift is a thorny challenge when deploying person re-identification...
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06/03/2021
Towards Cost-Optimal Policies for DAGs to Utilize IaaS Clouds with Online Learning
Premier cloud service providers (CSPs) offer two types of purchase optio...
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02/05/2021
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning
DNN-based video analytics have empowered many new applications (e.g., au...
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07/09/2020
Distributed Energy Trading and Scheduling among Microgrids via Multiagent Reinforcement Learning
The development of renewable energy generation empowers microgrids to ge...
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04/23/2019
Baconian: A Unified Opensource Framework for Model-Based Reinforcement Learning
Model-Based Reinforcement Learning (MBRL) is one category of Reinforceme...
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02/04/2019
A Framework for Allocating Server Time to Spot and On-demand Services in Cloud Computing
Cloud computing delivers value to users by facilitating their access to ...
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01/15/2019
Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning
Heating, Ventilation, and Air Conditioning (HVAC) is extremely energy-co...
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11/16/2018
Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis
Adaptive bitrate (ABR) streaming is the de facto solution for achieving ...
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04/10/2018