Sahil Tyagi

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 18

Top Topics

Anomaly Detection

Distributed Learning

Top Venues

Publications

Sahil Tyagi, Prateek Sharma
Scavenger: A Cloud Service For Optimizing Cost and Performance of ML Training. CCGrid (2023)
Sahil Tyagi
Scavenger: A Cloud Service for Optimizing Cost and Performance of DL Training. CCGridW (2023)
Sahil Tyagi, Martin Swany
GraVAC: Adaptive Compression for Communication-Efficient Distributed DL Training. CoRR (2023)
Sahil Tyagi, Martin Swany
GraVAC: Adaptive Compression for Communication-Efficient Distributed DL Training. CLOUD (2023)
Sahil Tyagi, Martin Swany
Flexible Communication for Optimal Distributed Learning over Unpredictable Networks. CoRR (2023)
Sahil Tyagi, Prateek Sharma
Scavenger: A Cloud Service for Optimizing Cost and Performance of ML Training. CoRR (2023)
Sahil Tyagi, Prateek Sharma
Taming Resource Heterogeneity In Distributed ML Training With Dynamic Batching. CoRR (2023)
Sahil Tyagi, Martin Swany
Accelerating Distributed ML Training via Selective Synchronization. CLUSTER (2023)
Sahil Tyagi, Martin Swany
ScaDLES: Scalable Deep Learning over Streaming data at the Edge. CoRR (2023)
Sahil Tyagi, Martin Swany
Accelerating Distributed ML Training via Selective Synchronization. CoRR (2023)
Sahil Tyagi, Martin Swany
Accelerating Distributed ML Training via Selective Synchronization (Poster Abstract). CLUSTER Workshops (2023)
Sahil Tyagi, Martin Swany
Flexible Communication for Optimal Distributed Learning over Unpredictable Networks. BigData (2023)
Sahil Tyagi, Martin Swany
ScaDLES: Scalable Deep Learning over Streaming data at the Edge. Big Data (2022)
Shilpa Chaturvedi, Sahil Tyagi, Yogesh Simmhan
Cost-Effective Sharing of Streaming Dataflows for IoT Applications. IEEE Trans. Cloud Comput. 9 (4) (2021)
Sahil Tyagi, Prateek Sharma
Taming Resource Heterogeneity In Distributed ML Training With Dynamic Batching. ACSOS (2020)
Chathura Widanage, Jiayu Li, Sahil Tyagi, Ravi Teja, Bo Peng, Supun Kamburugamuve, Dan Baum, Dayle Smith, Judy Qiu, Jon Koskey
Anomaly Detection over Streaming Data: Indy500 Case Study. CLOUD (2019)
Shilpa Chaturvedi, Sahil Tyagi, Yogesh Simmhan
Collaborative Reuse of Streaming Dataflows in IoT Applications. eScience (2017)
Shilpa Chaturvedi, Sahil Tyagi, Yogesh Simmhan
Collaborative Reuse of Streaming Dataflows in IoT Applications. CoRR (2017)