Blesson Varghese
Queen's University Belfast
H-index: 26
Europe-United Kingdom
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 |