Joseph Doyle

Lecturer

Queen Mary University of London

United Kingdom

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About

Joseph Doyle is a Lecturer at Queen Mary University of London, UK. His research interests include binarized neural networks, blockchain technologies, low-energy resource management, and optimization strategies for cloud datacenters. Recent publications highlight his work on inference engines, secure virtual machine migration frameworks, and recommender systems for distributed deep learning.

Articles (5)

Year:

2024

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Collaborators (3)

Riccardo Berta

University of Genoa

ITALY

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Francesco Bellotti

Associate Professor

Università degli Studi di Torino

ITALY

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Saeid Ghafouri

Queen's University Belfast

UNITED KINGDOM

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Joseph Doyle

Research Interests

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Articles (5)

CBin-NN: An Inference Engine for Binarized Neural Networks

BlockchainBus: A lightweight framework for secure virtual machine migration in cloud federations using blockchain

Self-Learning Pipeline for Low-Energy Resource-Constrained Devices

Case Studies for Achieving a Return on Investment with a Hardware Refresh in Organizations with Small Data Centers

Recommender System for Optimal Distributed Deep Learning in Cloud Datacenters

Collaborators (3)

Riccardo Berta

Francesco Bellotti

Saeid Ghafouri

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