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2020 – today
- 2024
[j2]Bishal Thapaliya, Riyasat Ohib, Eloy Geenjaar, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis:
Efficient federated learning for distributed neuroimaging data. Frontiers Neuroinformatics 18 (2024)- [i5]Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis:
Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning. CoRR abs/2405.09037 (2024) - 2023
- [i4]Riyasat Ohib, Bishal Thapaliya, Pratyush Gaggenapalli, Jingyu Liu, Vince D. Calhoun
, Sergey M. Plis:
SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training. CoRR abs/2304.07488 (2023) - [i3]Eloy Geenjaar, Donghyun Kim, Riyasat Ohib, Marlena Duda, Amrit Kashyap, Sergey M. Plis, Vince D. Calhoun:
Learning low-dimensional dynamics from whole-brain data improves task capture. CoRR abs/2305.14369 (2023) - 2022
- [j1]Riyasat Ohib, Nicolas Gillis, Niccolò Dalmasso, Sameena Shah, Vamsi K. Potluru, Sergey M. Plis:
Explicit Group Sparse Projection with Applications to Deep Learning and NMF. Trans. Mach. Learn. Res. 2022 (2022) - 2021
- [i2]Samin Yeasar Arnob, Riyasat Ohib, Sergey M. Plis, Doina Precup:
Single-Shot Pruning for Offline Reinforcement Learning. CoRR abs/2112.15579 (2021)
2010 – 2019
- 2019
- [i1]Nicolas Gillis, Riyasat Ohib, Sergey M. Plis, Vamsi K. Potluru:
Grouped sparse projection. CoRR abs/1912.03896 (2019)
Coauthor Index
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