| Towards building the federatedGPT: Federated instruction tuning J Zhang, S Vahidian, M Kuo, C Li, R Zhang, T Yu, G Wang, Y Chen ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 94 | 2024 |
| Personalized federated learning by structured and unstructured pruning under data heterogeneity S Vahidian, M Morafah, B Lin 2021 IEEE 41st international conference on distributed computing systems …, 2021 | 81 | 2021 |
| Relay selection for security-constrained cooperative communication in the presence of eavesdropper's overhearing and interference S Vahidian, S Aïssa, S Hatamnia IEEE Wireless Communications Letters 4 (6), 577-580, 2015 | 47 | 2015 |
| Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces S Vahidian, M Morafah, W Wang, V Kungurtsev, C Chen, M Shah, B Lin AAAI Conference on Artificial Intelligence, 2022 | 46 | 2022 |
| Flis: Clustered federated learning via inference similarity for non-iid data distribution M Morafah, S Vahidian, W Wang, B Lin IEEE Open Journal of the Computer Society 4, 109-120, 2023 | 42 | 2023 |
| Network-coded two-way relaying in spectrum-sharing systems with quality-of-service requirements S Hatamnia, S Vahidian, S Aïssa, B Champagne, M Ahmadian-Attari IEEE Transactions on Vehicular Technology 66 (2), 1299-1312, 2016 | 40 | 2016 |
| Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models S Khodadadeh, S Zehtabian, S Vahidian, W Wang, B Lin, L Boloni International Conference on Learning Representations (ICLR), 2020 | 35 | 2020 |
| Bidirectional AF relaying with underlay spectrum sharing in cognitive radio networks S Vahidian, E Soleimani-Nasab, S Aïssa, M Ahmadian-Attari IEEE Transactions on Vehicular Technology 66 (3), 2367-2381, 2016 | 33 | 2016 |
| Rethinking data heterogeneity in federated learning: Introducing a new notion and standard benchmarks S Vahidian, M Morafah, C Chen, M Shah, B Lin IEEE Transactions on Artificial Intelligence 5 (3), 1386-1397, 2023 | 29 | 2023 |
| Performance analysis of two-way decode-and-forward relaying in the presence of co-channel interferences S Hataminia, S Vahidian, MA Mohammadi, M Ahmadian IET Communications 8 (18), 3349 - 3356, 2014 | 28 | 2014 |
| Multi-hop cooperative communication technique for cognitive DF and AF relay networks M Najafi, M Ardebilipour, E Soleimani-Nasab, S Vahidian Wireless Personal Communications 83, 3209-3221, 2015 | 26 | 2015 |
| Select to better learn: Fast and accurate deep learning using data selection from nonlinear manifolds M Joneidi, S Vahidian, A Esmaeili, W Wang, N Rahnavard, B Lin, M Shah Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 19 | 2020 |
| Efficient dataset distillation via minimax diffusion J Gu, S Vahidian, V Kungurtsev, H Wang, W Jiang, Y You, Y Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 14 | 2024 |
| Power allocation and cooperative diversity in two-way non-regenerative cognitive radio networks S Vahidian, M Najafi, M Najafi, FS Al-Qahtani IEEE International Conference on Communications (ICC), 2017 | 12 | 2017 |
| When do curricula work in federated learning? S Vahidian, S Kadaveru, W Baek, W Wang, V Kungurtsev, C Chen, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| Coresets for estimating means and mean square error with limited greedy samples S Vahidian, B Mirzasoleiman, A Cloninger Conference on Uncertainty in Artificial Intelligence (UAI) 2020, 350-359, 2020 | 10 | 2020 |
| On the Security Analysis of a Cooperative Incremental Relaying Protocol in the Presence of an Active Eavesdropper S Vahidian, S Hatamnia, B Champagne IEEE Access, 2018 | 9 | 2018 |
| CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction U Khalid, H Iqbal, S Vahidian, J Hua, C Chen 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 7 | 2023 |
| Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks M Morafah, S Vahidian, C Chen, M Shah, B Lin NeurIPS 2022, 2022 | 5 | 2022 |
| Group Distributionally Robust Dataset Distillation with Risk Minimization S Vahidian, M Wang, J Gu, V Kungurtsev, W Jiang, Y Chen arXiv preprint arXiv:2402.04676, 2024 | 4 | 2024 |
Bill LinVerified email at ucsd.edu
