2023
- B. J. Eccles, P. Rodgers, P. Kilpatrick, I. Spence and Blesson Varghese, "DNNShifter: An Efficient DNN Pruning System for Edge Computing," Future Generation Computing Systems [IF: 7.5].
- D. Wu, R. Ullah, P. Rodgers, P. Kilpatrick, I. Spence and Blesson Varghese, "EcoFed: Efficient Communication for DNN Partioning-based Federated Learning," eprint arXiv:2304.05495.
- Z. Zhang, P. Rodgers, P. Kilpatrick, I. Spence and Blesson Varghese, "PipeLearn: Pipeline Parallelism for Collaborative Machine Learning," eprint arXiv:2302.12803.
2022
- G. Cleland, D. Wu, R. Ullah and Blesson Varghese, "FedComm: Understanding Communication Protocols for Edge-based Federated Learning," 15th Internation Conference on Utility and Cloud Computing, 2022.
- N. Wang and Blesson Varghese, "Context-aware Distribution of Fog Applications Using Deep Reinforcement Learning," Journal of Network and Computer Applications [IF: 6.281].
- A. Y. Ding, E. Peltonen, T. Meuser, A. Aral, C. Becker, S. Dustdar, T. Hisse, D. Kranzlmuller, M. Liyange, S. Magshudi, N. Mohan, J. Ott, J. S. Kellermeier, S. Schulte, H. Schulzrinne, G. Solmaz, S. Tarkoma, Blesson Varghese and L. Wolf, "Roadmap for Edge AI: A Dagstuhl Perspective," ACM SIGCOMM Computer Communication Review, 2022.
- D. Wu, R. Ullah, P. Harvey, P. Kilpatrick, I. Spence and Blesson Varghese, "FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning," IEEE Internet of Things Journal, 2022. [IF: 11.705]
- R. Ullah, D. Wu, P. Harvey, P. Kilpatrick, I. Spence and Blesson Varghese, "FedFly: Towards Migration in Edge-based Distributed Federated Learning," IEEE Communications Magazine, 2022. [IF: 11.05]
2021
- H. Ahn, M. Lee, C. -H. Hong and Blesson Varghese, "ScissionLite: Accelerating Distributed Deep Neural Networks Using Transfer Layer," eprint arXiv:2105.02019.
- Blesson Varghese, E. de Lara, A. Ding, C. -H. Hong, F. Bonomi, S. Dustdar, P. Harvey, P. Hewkin, W. Shi, M. Thiele and P. Willis, "Revisiting the Arguments for Edge Computing Research," IEEE Internet Computing, 2021. [IF: 4.231]
- F. McNamee, S. Dustadar, P. Kilpatrick, W. Shi, I. Spence and Blesson Varghese, "A Case for Adaptive Deep Neural Networks in Edge Computing," 14th IEEE International Conference on Cloud Computing, 2021.
- A. A. Majeed, P. Kilpatrick, I. Spence and Blesson Varghese, "NEUKONFIG: Reducing Edge Service Downtime When Repartitioning DNNs," 9th IEEE International Conference on Cloud Engineering, 2021.
- K. Wallis, Blesson Varghese, C. Reich and C. Schindelhauer, "QUDOS: Quorum-Based Cloud-Edge Distributed DNNs for Security Enhanced Industry 4.0," 14th IEEE/ACM Conference on Utility and Cloud Computing, 2021.
- P. Patros, J. Spillner, A. Papadopoulos, Blesson Varghese, O. Rana and S. Dustdar, "Towards Sustainable Serverless Computing," IEEE Internet Computing, 2021. [IF: 4.231]
- J. Kennedy, Blesson Varghese and C. Reano, "AVEC: Accelerator Virtualization in Cloud-Edge Computing for Deep Learning Libraries," 5th IEEE International Conference on Fog and Edge Computing, 2021 [Acceptance rate: 17%].
- V. Sharma, Blesson Varghese, J. McAllister and S. Mohanty, "Abusive Adversaries in 5G and beyond IoT," IEEE Consumer Electronics Magazine, 2021 [IF: 4.016]
- J. Lee, Blesson Varghese, R. Woods and H. Vandierendonck, "TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge," 5th IEEE International Conference on Fog and Edge Computing, 2021 [Acceptance rate: 17%]
- Blesson Varghese and F. Bonomi, "Reimagining the Internet with Edge Computing," BCS ITNOW, Vol. 63, Issue 1, 2021, pp. 20–21.
2020
- L. Lockhart, P. Harvey, P. Imai, P. Willis, and B. Varghese, "Scission: Performance-driven and Context-aware Cloud-Edge Distribution of Deep Neural Networks," Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 2020, pp. 257-268.
- B. Varghese, N. Wang, D. Bermbach, C. -H. Hong, E. de Lara, W. Shi, and C. Stewart, "A Survey on Edge Performance Benchmarking," ACM Computing Surveys, 2020.
- H. Mehta, P. Harvey, O. Rana, R. Buyya, and B. Varghese, "WattsApp: Power-Aware Container Scheduling," Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 2020, pp. 79-90.
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