| HACCS: Heterogeneity-Aware Clustered Client Selection for Accelerated Federated Learning J Wolfrath, N Sreekumar, D Kumar, Y Wang, A Chandra 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2022 | 41 | 2022 |
| Accelerated training via device similarity in federated learning Y Wang, J Wolfrath, N Sreekumar, D Kumar, A Chandra Proceedings of the 4th International Workshop on Edge Systems, Analytics and …, 2021 | 18 | 2021 |
| Efficient transmission and reconstruction of dependent data streams via edge sampling J Wolfrath, A Chandra 2022 IEEE International Conference on Cloud Engineering (IC2E), 47-57, 2022 | 2 | 2022 |
| Plexus: Optimizing Join Approximation for Geo-Distributed Data Analytics J Wolfrath, A Chandra Proceedings of the ACM Symposium on Cloud Computing, 1-16, 2023 | 1 | 2023 |
| Towards WAN-aware join sampling over geo-distributed data D Kumar, J Wolfrath, A Chandra, RK Sitaraman Proceedings of the 5th International Workshop on Edge Systems, Analytics and …, 2022 | 1 | 2022 |
| Stronger Baseline Models--A Key Requirement for Aligning Machine Learning Research with Clinical Utility N Wolfrath, J Wolfrath, H Hu, A Banerjee, AN Kothari arXiv preprint arXiv:2409.12116, 2024 | | 2024 |
| Leveraging Multi-Modal Data for Efficient Edge Inference Serving J Wolfrath, A Achanta, A Chandra 2024 IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2024 | | 2024 |
| A Biased Estimator for MinMax Sampling and Distributed Aggregation J Wolfrath, A Chandra arXiv preprint arXiv:2404.17690, 2024 | | 2024 |
| Hypervisor having local keystore J Wolfrath, C Engel, M Vaught, M Bowcutt, P Scramlin US Patent 11,809,568, 2022 | | 2022 |
| Data-Aware Edge Sampling for Aggregate Query Approximation J Wolfrath, A Chandra 2020 IEEE/ACM Symposium on Edge Computing (SEC), 158-160, 2020 | | 2020 |
Dhruv KumarAssistant Prof. @ BITS Pilani and IIIT Delhi. PostDoc @ Microsoft Research. PhD @ UMinnesota-TC.Verified email at iiitd.ac.in
