Blesson Varghese

Blesson Varghese

Queen's University Belfast

H-index: 26

Europe-United Kingdom

About Blesson Varghese

Blesson Varghese, With an exceptional h-index of 26 and a recent h-index of 23 (since 2020), a distinguished researcher at Queen's University Belfast, specializes in the field of Distributed systems, Cloud/Edge computing, Edge intelligence, Distributed machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

DNNShifter: An efficient DNN pruning system for edge computing

EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning

Enabling privacy-aware interoperable and quality IoT data sharing with context

Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization

NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning

DRIVE: Dual Gradient-Based Rapid Iterative Pruning

AI-based fog and edge computing: A systematic review, taxonomy and future directions

Adaptive offloading of federated learning

Blesson Varghese Information

University

Position

Senior Lecturer (~Associate Professor) UK

Citations(all)

4224

Citations(since 2020)

3491

Cited By

2051

hIndex(all)

26

hIndex(since 2020)

23

i10Index(all)

50

i10Index(since 2020)

42

Email

University Profile Page

Queen's University Belfast

Google Scholar

View Google Scholar Profile

Blesson Varghese Skills & Research Interests

Distributed systems

Cloud/Edge computing

Edge intelligence

Distributed machine learning

Top articles of Blesson Varghese

Title

Journal

Author(s)

Publication Date

DNNShifter: An efficient DNN pruning system for edge computing

Future Generation Computer Systems

Bailey J Eccles

Philip Rodgers

Peter Kilpatrick

Ivor Spence

Blesson Varghese

2024/3/1

EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning

IEEE Transactions on Parallel and Distributed Systems

Di Wu

Rehmat Ullah

Philip Rodgers

Peter Kilpatrick

Ivor Spence

...

2024/1/4

Enabling privacy-aware interoperable and quality IoT data sharing with context

Future Generation Computer Systems

Tek Raj Chhetri

Chinmaya Kumar Dehury

Blesson Varghese

Anna Fensel

Satish Narayana Srirama

...

2024/8/1

Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization

arXiv preprint arXiv:2404.16877

Bailey J Eccles

Leon Wong

Blesson Varghese

2024/4/22

NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning

Dhananjay Saikumar

Blesson Varghese

2024/4/22

DRIVE: Dual Gradient-Based Rapid Iterative Pruning

arXiv preprint arXiv:2404.03687

Dhananjay Saikumar

Blesson Varghese

2024/4/1

AI-based fog and edge computing: A systematic review, taxonomy and future directions

Sundas Iftikhar

Sukhpal Singh Gill

Chenghao Song

Minxian Xu

Mohammad Sadegh Aslanpour

...

2023/4/1

Adaptive offloading of federated learning

2023/1/19

Roma: Run-time object detection to maximize real-time accuracy

JunKyu Lee

Blesson Varghese

Hans Vandierendonck

2023

Stochastic modeling for intelligent software-defined vehicular networks: A survey

Computers

Banoth Ravi

Blesson Varghese

Ilir Murturi

Praveen Kumar Donta

Schahram Dustdar

...

2023/8/12

Multi-tier GPU virtualization for deep learning in cloud-edge systems

IEEE Transactions on Parallel and Distributed Systems

Jason Kennedy

Vishal Sharma

Blesson Varghese

Carlos Reaño

2023/5/10

Communication Efficient DNN Partitioning-based Federated Learning

arXiv preprint arXiv:2304.05495

Di Wu

Rehmat Ullah

Philip Rodgers

Peter Kilpatrick

Ivor Spence

...

2023/4/11

ARTIFICIAL INTELLIGENCE AND DATA SCIENCE FOR COMMUNICATIONS

IEEE Communications Magazine

Yanna Bai

Wei Chen

Feifei Sun

Bo Ai

Petar Popovski

...

2022/11

Roadmap for edge ai: A dagstuhl perspective

Aaron Yi Ding

Ella Peltonen

Tobias Meuser

Atakan Aral

Christian Becker

...

2022/3/1

FedFly: Toward migration in edge-based distributed federated learning

IEEE Communications Magazine

Rehmat Ullah

Di Wu

Paul Harvey

Peter Kilpatrick

Ivor Spence

...

2022/8/1

CONTINUER: maintaining distributed DNN services during edge failures

Ayesha Abdul Majeed

Peter Kilpatrick

Ivor Spence

Blesson Varghese

2022/7/10

IoTPulse: machine learning-based enterprise health information system to predict alcohol addiction in Punjab (India) using IoT and fog computing

Enterprise Information Systems

Arwinder Dhillon

Ashima Singh

Harpreet Vohra

Caroline Ellis

Blesson Varghese

...

2022/7/3

FedComm: Understanding communication protocols for edge-based federated learning

Gary Cleland

Di Wu

Rehmat Ullah

Blesson Varghese

2022/12/6

Context-aware distribution of fog applications using deep reinforcement

Journal of network and computer applications

Nan Wang

Blesson Varghese

2022/7/1

PipeLearn: Pipeline parallelism for collaborative machine learning

arXiv preprint arXiv:2302.12803

Zihan Zhang

Philip Rodgers

Peter Kilpatrick

Ivor Spence

Blesson Varghese

2022/12/1

See List of Professors in Blesson Varghese University(Queen's University Belfast)

Co-Authors

H-index: 93
Schahram Dustdar

Schahram Dustdar

Technische Universität Wien

H-index: 77
Prof. Rajiv Ranjan, MAE, FIEEE, FAAIA

Prof. Rajiv Ranjan, MAE, FIEEE, FAAIA

Newcastle University

H-index: 63
Omer Rana

Omer Rana

Cardiff University

H-index: 60
Ian Sommerville

Ian Sommerville

University of St Andrews

H-index: 60
Weisong Shi

Weisong Shi

Wayne State University

H-index: 52
Michail (Michalis) Matthaiou

Michail (Michalis) Matthaiou

Queen's University Belfast

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