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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
PDF Project
FedFly: Towards Migration in Edge-based Distributed Federated Learning
Supplement 71 to ITU-T Y.3000-series (Y.Supp-AN-Use Cases)
TODO: update links once the document is published online. This document is the first version of the use cases collected by the ITU-T Focus Group on Autonomous Networks (FGAN). Each usecase was contributed by a “mentor” and curated by the FGAN.
Leon Wong, Paul Harvey, Hideki Yamamoto, Xiaojia Song, Yongsheng Liu, Vijay Kumar Roy, Vishnu Ram OV
Supplement 71 to ITU-T Y.3000-series (Y.Supp-AN-Use Cases)
Autonomous Networks - Private or Otherwise
The role of autonomy in private or public networks.
Jul 9, 2022 9:00 AM — 9:40 AM Bangalore, India & Online
Paul Harvey
Autonomous Networks - Private or Otherwise
My Research on Autonomous Systems: An overview
Short intro talk to my research on autonomous systems and networks.
Jun 27, 2022 12:11 PM — 2:00 PM 101AB, Sir Charles Wilson Building, University of Glasgow
Paul Harvey
My Research on Autonomous Systems: An overview
IFIP 2022: 'Herding the FLOQ: Flow Optimised Queueing'
This is the conference presentation about our work on the paper.
Jun 16, 2022 1:55 PM Catania, Italy
Mihali Yanev, Paul Harvey
Network Digital Twin: Context, Enabling Technologies and Opportunities
The proliferation of emergent network applications (e.g., telesurgery, metaverse) is increasing the difficulty of managing modern …
Paul Almasan, Miquel Ferriol-Galmés, Jordi Paillisse, Jose Suarez-Varela, Diego Perino, Diego Lopez, Antonio Agustin Pastor Perales, Paul Harvey, Laurent Ciavaglia, Leon Wong, Vishnu Ram, Shihan Xiao, Xiang Shi, Xiangle Cheng, Albert Cabellos-Aparicio, Pere Barlet-Ros
PDF Cite DOI
Network Digital Twin: Context, Enabling Technologies and Opportunities
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
PDF Cite Project DOI
FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning
Herding the FLOQ: Flow Optimised Queueing

“With more and more people working remotely, the demands placed on network operators to deliver high quality Internet …
Mihail Yanev, Paul Harvey
PDF Project
Herding the FLOQ: Flow Optimised Queueing
Autonomous Networks: Create, Validate, Apply
Autonomous operation is more than just ML + use case…
Jan 20, 2022 Online
Rakuten Mobile Innovation Studio
Autonomous Networks: Create, Validate, Apply
Research and Development of Cooperative Autonomous Networks
This is a multi-year funded research award by the Japanese National Institute of Information and CommunicationsTechnology
Award Accouncement (#11) Collaboration Announcement
Research and Development of Cooperative Autonomous Networks