Joel Wolfrath, Daniel Frink, and Abhishek Chandra. SneakPeek: Data-Aware Model Selection and Scheduling for Inference Serving on the Edge. 16th ACM Symposium on Cloud Computing (SoCC 2025) [to appear].
Joel Wolfrath, Anirudh Achanta, and Abhishek Chandra. 2024. Leveraging Multi-Modal Data for Efficient Edge Inference Serving. 24th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2024).
Joel Wolfrath and Abhishek Chandra. 2023. Plexus: Optimizing Join Approximation for Geo-Distributed Data Analytics. 14th ACM Symposium on Cloud Computing (SoCC 2023).
Joel Wolfrath and Abhishek Chandra. 2022. Efficient Transmission and Reconstruction of Dependent Data Streams via Edge Sampling. 10th IEEE International Conference on Cloud Engineering (IC2E 2022).
Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Yuanli Wang, and Abhishek Chandra. 2022. HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning. 36th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2022).
Dhruv Kumar, Joel Wolfrath, Abhishek Chandra, Ramesh Sitaraman. 2022. Towards WAN-Aware Join Sampling over Geo-Distributed Data. In 5th International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2022).
Yuanli Wang, Joel Wolfrath, Nikhil Sreekumar, Dhruv Kumar, Abhishek Chandra. 2021. Accelerated Training via Device Similarity in Federated Learning. In 4th International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2021).
Joel Wolfrath and Abhishek Chandra. 2020. Data-Aware Edge Sampling for Aggregate Query Approximation. In 2020 IEEE/ACM Symposium on Edge Computing (SEC 2020).
Best Poster Award
* Equal authorship