edge computing

On the Effectiveness of Task Off-loading in Edge based Federated Learning Environment (To Appear)
Federated Learning (FL) is a popular approach for distributed machine learning while protecting data privacy, especially in smart city …
Sumiko Miyata, Takamichi Miyata, Irfanullah Khan, Paul Harvey
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On the Effectiveness of Task Off-loading in Edge based Federated Learning Environment (To Appear)
FedFly: Towards Migration in Edge-based Distributed Federated Learning
Dynamic computational offloading in edge-based IoT for federated learning
Rehmat Ullah, Di Wu, Paul Harvey, Peter Kilpatrick, Ivor Spence, Blesson Varghese
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FedFly: Towards Migration in Edge-based Distributed Federated Learning
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Dynamic computational offloading in edge-based IoT for federated learning
Di Wu, Rehmat Ullah, Paul Harvey, Peter Kilpatrick, Ivor Spence, Blesson Varghese
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FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Revisiting the Arguments for Edge Computing Research
This article argues that low latency, high bandwidth, device proliferation, sustainable digital infrastructure, and data privacy and …
Blesson Varghese, Eyal de Lara, Aaron Ding, Cheol-Ho Hong, Flavio Bonomi, Schahram Dustdar, Paul Harvey, Peter Hewkin, Weisong Shi, Mark Thiele, Peter Willis
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A Feasibility Study of Cache in Smart Edge Router for Web-Access Accelerator
A presentation about the use of home-based edge computing on caching
Dec 7, 2020 — Online
Krittin Intharawijitr, Paul Harvey, Pierre Imai
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A Feasibility Study of Cache in Smart Edge Router for Web-Access Accelerator
Autonomous Edge Computing
A look at the need for autonomy at the edge and how it may be realised.
Oct 15, 2020 — Edge Computing World 2020 - Online
Paul Harvey