| A near-optimal algorithm for stochastic bilevel optimization via double-momentum P Khanduri, S Zeng, M Hong, HT Wai, Z Wang, Z Yang Advances in Neural Information Processing Systems 34, 30271-30283, 2021 | 144 | 2021 |
| Revisiting and advancing fast adversarial training through the lens of bi-level optimization Y Zhang, G Zhang, P Khanduri, M Hong, S Chang, S Liu International Conference on Machine Learning, 26693-26712, 2022 | 99 | 2022 |
| Anarchic federated learning H Yang, X Zhang, P Khanduri, J Liu International Conference on Machine Learning, 25331-25363, 2022 | 82 | 2022 |
| STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning P Khanduri, P Sharma, H Yang, M Hong, J Liu, K Rajawat, PK Varshney Advances in Neural Information Processing Systems 34, 6050-6061, 2021 | 78 | 2021 |
| An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning Y Zhang, P Khanduri, I Tsaknakis, Y Yao, M Hong, S Liu arXiv preprint arXiv:2308.00788, 2023 | 42 | 2023 |
| Auto-prompting sam for mobile friendly 3d medical image segmentation C Li, P Khanduri, Y Qiang, RI Sultan, I Chetty, D Zhu arXiv preprint arXiv:2308.14936 2, 2023 | 28 | 2023 |
| On distributed online convex optimization with sublinear dynamic regret and fit P Sharma, P Khanduri, L Shen, DJ Bucci, PK Varshney 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1013-1017, 2021 | 28 | 2021 |
| Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory KR Varshney, P Khanduri, P Sharma, S Zhang, PK Varshney arXiv preprint arXiv:1806.09710, 2018 | 26 | 2018 |
| Learning to poison large language models during instruction tuning Y Qiang, X Zhou, SZ Zade, MA Roshani, P Khanduri, D Zytko, D Zhu arXiv preprint arXiv:2402.13459, 2024 | 21 | 2024 |
| Linearly constrained bilevel optimization: A smoothed implicit gradient approach P Khanduri, I Tsaknakis, Y Zhang, J Liu, S Liu, J Zhang, M Hong International Conference on Machine Learning, 2023 | 20 | 2023 |
| Parallel Restarted SPIDER--Communication Efficient Distributed Nonconvex Optimization with Optimal Computation Complexity P Sharma, S Kafle, P Khanduri, S Bulusu, K Rajawat, PK Varshney arXiv preprint arXiv:1912.06036, 2019 | 20 | 2019 |
| An Implicit Gradient-Type Method for Linearly Constrained Bilevel Problems I Tsaknakis, P Khanduri, M Hong ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 19 | 2022 |
| Distributed Sequential Detection: Dependent Observations and Imperfect Communication S Zhang, P Khanduri, PK Varshney IEEE Transactions on Signal Processing 68, 830-842, 2019 | 18 | 2019 |
| GeoSAM: Fine-tuning SAM with Sparse and Dense Visual Prompting for Automated Segmentation of Mobility Infrastructure RI Sultan, C Li, H Zhu, P Khanduri, M Brocanelli, D Zhu arXiv preprint arXiv:2311.11319, 2023 | 17 | 2023 |
| FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images C Li, Y Qiang, RI Sultan, H Bagher-Ebadian, P Khanduri, IJ Chetty, D Zhu International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 17* | 2023 |
| Byzantine Resilient Non-Convex SCSG With Distributed Batch Gradient Computations S Bulusu, P Khanduri, S Kafle, P Sharma, PK Varshney IEEE Transactions on Signal and Information Processing over Networks 7, 754-766, 2021 | 17* | 2021 |
| INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks Z Liu, X Zhang, P Khanduri, S Lu, J Liu Proceedings of the Twenty-Third International Symposium on Theory …, 2022 | 14 | 2022 |
| Byzantine-robust decentralized federated learning M Fang, Z Zhang, Hairi, P Khanduri, J Liu, S Lu, Y Liu, N Gong Proceedings of the 2024 on ACM SIGSAC Conference on Computer and …, 2024 | 13 | 2024 |
| Joint collaboration and compression design for distributed sequential estimation in a wireless sensor network X Cheng, P Khanduri, B Chen, PK Varshney IEEE Transactions on Signal Processing 69, 5448-5462, 2021 | 13 | 2021 |
| A momentum-assisted single-timescale stochastic approximation algorithm for bilevel optimization P Khanduri, S Zeng, M Hong, HT Wai, Z Wang, Z Yang arXiv preprint arXiv:2102.07367, 2021 | 13 | 2021 |
Pramod VarshneyDistinguished Professor of EECS, Syracuse UniversityVerifisert e-postadresse på syr.edu
