Overview
Education/Academic qualification
Eng-Electrical & Computer Engineering, Doctorate Degree
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Dive into the research topics where Sahil Tyagi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC
Tyagi, S., Cozma, A., Kotevska, O. & Wang, F., Nov 15 2025, Proceedings of 2025 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC 2025 Workshops. Association for Computing Machinery, Inc, p. 516-523 8 p. (Proceedings of 2025 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, SC 2025 Workshops).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
OmniLearn: A Framework for Distributed Deep Learning Over Heterogeneous Clusters
Tyagi, S. & Sharma, P., 2025, In: IEEE Transactions on Parallel and Distributed Systems. 36, 6, p. 1253-1267 15 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Accelerating Distributed ML Training via Selective Synchronization
Tyagi, S. & Swany, M., 2023, Proceedings - 2023 IEEE International Conference on Cluster Computing, CLUSTER 2023. Institute of Electrical and Electronics Engineers Inc., p. 1-12 12 p. (Proceedings - IEEE International Conference on Cluster Computing, ICCC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
Accelerating Distributed ML Training via Selective Synchronization (Poster Abstract)
Tyagi, S. & Swany, M., 2023, Proceedings - 2023 IEEE International Conference on Cluster Computing Workshops and Posters, CLUSTER Workshops 2023. Institute of Electrical and Electronics Engineers Inc., p. 56-57 2 p. (Proceedings - IEEE International Conference on Cluster Computing, ICCC).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
Flexible Communication for Optimal Distributed Learning over Unpredictable Networks
Tyagi, S. & Swany, M., 2023, Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023. He, J., Palpanas, T., Hu, X., Cuzzocrea, A., Dou, D., Slezak, D., Wang, W., Gruca, A., Lin, J.C.-W. & Agrawal, R. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 925-935 11 p. (Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Scopus citations