Anomaly detection over streaming data: Indy500 case study
Chathura Widanage, Jiayu Li, Sahil Tyagi, Ravi Teja, Bo Peng, Supun Kamburugamuve, Dan Baum, Dayle Smith, Judy Qiu, Jon Koskey
2019 IEEE 12th International Conference on Cloud Computing (CLOUD) [A.R. 20%]
Flexible Communication for Optimal Distributed Learning over Unpredictable Networks
Sahil Tyagi, Martin Swany
2023 IEEE International Conference on Big Data (BigData) [A.R. 17.5%]
GraVAC: Adaptive Compression for Communication-Efficient Distributed DL Training
Sahil Tyagi, Martin Swany
2023 IEEE International Conference on Cloud Computing (CLOUD) [A.R. 20%]
Accelerating Distributed ML Training via Selective Synchronization
Sahil Tyagi, Martin Swany
2023 IEEE International Conference on Cluster Computing (CLUSTER) [A.R. 25%]
ScaDLES: Scalable Deep Learning over Streaming data at the Edge
Sahil Tyagi, Martin Swany
2022 IEEE International Conference on Big Data (BigData) [A.R. 19.2%]
Scavenger: A Cloud Service for Optimizing Cost and Performance of ML Training
Sahil Tyagi, Prateek Sharma
2023 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid) [A.R. 21%]
Taming Resource Heterogeneity In Distributed ML Training With Dynamic Batching
Sahil Tyagi, Prateek Sharma
2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) [A.R. 25%]
Collaborative reuse of streaming dataflows in IoT applications
Shilpa Chaturvedi, Sahil Tyagi, Yogesh Simmhan
2017 IEEE 13th International Conference on e-Science (e-Science) [A.R. 36%], pp. 403-412
Cost-effective sharing of streaming dataflows for IoT applications
Shilpa Chaturvedi, Sahil Tyagi, Yogesh Simmhan
IEEE Transactions on Cloud Computing, vol. 9(4), 2019, pp. 1391-1407
