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Jingoo Han
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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
212019
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
162020
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
132022
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
102020
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
72022
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
62022
Towards a Resource Efficient Framework for Distributed Deep Learning Applications
J Han
Virginia Tech, 2022
2022
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