BESPOKV: Application Tailored Scale-Out Key-Value Stores A Anwar, Y Cheng, H Huang, J Han, H Sim, D Lee, F Douglis, AR Butt Proceedings of the International Conference for High Performance Computing …, 2018 | 22* | 2018 |
A quantitative study of deep learning training on heterogeneous supercomputers J Han, L Xu, M Rafique, AR Butt, SH Lim Proceedings of the IEEE International Conference on Cluster Computing (Cluster), 2019 | 21 | 2019 |
Marble: A multi-gpu aware job scheduler for deep learning on hpc systems J Han, MM Rafique, L Xu, AR Butt, SH Lim, SS Vazhkudai Proceedings of 20th IEEE/ACM International Symposium on Cluster, Cloud and …, 2020 | 19 | 2020 |
Tiff: Tokenized incentive for federated learning J Han, AF Khan, S Zawad, A Anwar, NB Angel, Y Zhou, F Yan, AR Butt 2022 IEEE 15th International Conference on Cloud Computing (CLOUD), 407-416, 2022 | 17 | 2022 |
Customizable scale-out key-value stores A Anwar, Y Cheng, H Huang, J Han, H Sim, D Lee, F Douglis, AR Butt IEEE Transactions on Parallel and Distributed Systems 31 (9), 2081-2096, 2020 | 10 | 2020 |
Heterogeneity-Aware Adaptive Federated Learning Scheduling J Han, AF Khan, S Zawad, A Anwar, NB Angel, Y Zhou, F Yan, AR Butt, ... Proceedings of the IEEE International Conference on Big Data (BigData), 2022 | 9 | 2022 |
Tokenized Incentive for Federated Learning J Han, AF Khan, S Zawad, A Anwar, NB Angel, Y Zhou, F Yan, AR Butt AAAI International Workshop on Trustable, Verifiable and Auditable Federated …, 2022 | 8 | 2022 |
Towards a Resource Efficient Framework for Distributed Deep Learning Applications J Han Virginia Tech, 2022 | | 2022 |