| 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 | 34 | 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 | 17 | 2021 |
| A new benchmark harness for systematic and robust evaluation of streaming state stores E Asyabi, Y Wang, J Liagouris, V Kalavri, A Bestavros Proceedings of the Seventeenth European Conference on Computer Systems, 559-574, 2022 | 15 | 2022 |
| Fail-slow fault tolerance needs programming support A Yoo, Y Wang, R Sinha, S Mu, T Xu Proceedings of the Workshop on Hot Topics in Operating Systems, 228-235, 2021 | 6 | 2021 |
| The non-expert tax quantifying the cost of auto-scaling in cloud-based data stream analytics Y Wang, B Lyu, V Kalavri Proceedings of The International Workshop on Big Data in Emergent …, 2022 | 4 | 2022 |
| Poster: Exploiting Data Heterogeneity for Performance and Reliability in Federated Learning Y Wang, D Kumar, A Chandra 2020 IEEE/ACM Symposium on Edge Computing (SEC), 164-166, 2020 | 4 | 2020 |
| Trace and Edit Relation Associations in GPT J Li, T Chen, Y Wang arXiv preprint arXiv:2401.02976, 2023 | 1 | 2023 |
| Efficient Data Distribution Estimation for Accelerated Federated Learning Y Wang, L Huang arXiv preprint arXiv:2406.01774, 2024 | | 2024 |
Dhruv KumarAssistant Prof. @ IIIT-Delhi. PostDoc @ Microsoft Research. PhD @ UMinnesota-TC. BTech @ BITS-Pilani在 iiitd.ac.in 的电子邮件经过验证
