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05/27/2022
Network Digital Twin: Context, Enabling Technologies and Opportunities
The proliferation of emergent network applications (e.g., telesurgery, m...
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01/04/2022
Digital Twin Network: Opportunities and Challenges
The proliferation of emergent network applications (e.g., AR/VR, telesur...
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11/02/2021
FedFly: Towards Migration in Edge-based Distributed Federated Learning
Federated learning (FL) is a privacy-preserving distributed machine lear...
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07/09/2021
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Applying Federated Learning (FL) on Internet-of-Things devices is necess...
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06/23/2021
Revisiting the Arguments for Edge Computing Research
This article argues that low latency, high bandwidth, device proliferati...
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05/14/2021
Multiparty Session Types for Safe Runtime Adaptation in an Actor Language (Extended version)
Human fallibility, unpredictable operating environments, and the heterog...
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08/08/2020
Scission: Context-aware and Performance-driven Edge-based Distributed Deep Neural Networks
Partitioning and distributing deep neural networks (DNNs) across end-dev...
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05/30/2020