Performance analysis of two-way decode-and-forward relaying in the presence of co-channel interferences. - S. Hataminia; Saeed Vahidian; MohammadAli Mohammadi; Mahmoud Ahmadian-Attari (IET Commun., 2014)

Relay Selection for Security-Constrained Cooperative Communication in the Presence of Eavesdropper's Overhearing and Interference. - Saeed Vahidian; Sonia Aïssa; Sajad Hatamnia (IEEE Wirel. Commun. Lett., 2015)

Multi-Hop Cooperative Communication Technique for Cognitive DF and AF Relay Networks. - Marzieh Najafi; Mehrdad Ardebilipour; Ehsan Soleimani-Nasab; Saeed Vahidian (Wirel. Pers. Commun., 2015)

A novel low-complexity framework in ultra-wideband imaging for breast cancer detection. - Yasaman Ettefagh; Mohammad Hossein Moghaddam; Saeed Vahidian (BIBE, 2017)

Power allocation and cooperative diversity in two-way non-regenerative cognitive radio networks. - Saeed Vahidian; Maryam Najafi; Marzieh Najafi; Fawaz S. Al-Qahtani (ICC, 2017)

A framework for super-resolution of scalable video via sparse reconstruction of residual frames. - Mohammad Hossein Moghaddam; Mohammad Javad Azizipour; Saeed Vahidian; Besma Smida (MILCOM, 2017)

Network-Coded Two-Way Relaying in Spectrum-Sharing Systems With Quality-of-Service Requirements. - Sajad Hatamnia; Saeed Vahidian; Sonia Aïssa; Benoît Champagne 001; Mahmoud Ahmadian-Attari (IEEE Trans. Veh. Technol., 2017)

Bidirectional AF Relaying With Underlay Spectrum Sharing in Cognitive Radio Networks. - Saeed Vahidian; Ehsan Soleimani-Nasab; Sonia Aïssa; Mahmoud Ahmadian-Attari (IEEE Trans. Veh. Technol., 2017)

On the Security Analysis of a Cooperative Incremental Relaying Protocol in the Presence of an Active Eavesdropper. - Saeed Vahidian; Sajad Hatamnia; Benoît Champagne 001 (IEEE Access, 2019)

Data Sampling for Graph Based Unsupervised Learning: Convex and Greedy Optimization. - Saeed Vahidian; Alexander Cloninger; Baharan Mirzasoleiman (CoRR, 2019)

Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds. - Mohsen Joneidi; Saeed Vahidian; Ashkan Esmaeili; Weijia Wang 002; Nazanin Rahnavard; Bill Lin 001; Mubarak Shah (CVPR, 2020)

Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples. - Saeed Vahidian; Baharan Mirzasoleiman; Alexander Cloninger (UAI, 2020)

Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity. - Saeed Vahidian; Mahdi Morafah; Bill Lin 001 (ICDCS Workshops, 2021)

Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models. - Siavash Khodadadeh; Sharare Zehtabian; Saeed Vahidian; Weijia Wang 002; Bill Lin 001; Ladislau Bölöni (ICLR, 2021)

Spectrum Pursuit With Residual Descent for Column Subset Selection Problem: Theoretical Guarantees and Applications in Deep Learning. - Saeed Vahidian; Mohsen Joneidi; Ashkan Esmaeili; Siavash Khodadadeh; Sharare Zehtabian; Bill Lin 001 (IEEE Access, 2022)

Neural Routing in Meta Learning. - Jicang Cai; Saeed Vahidian; Weijia Wang 002; Mohsen Joneidi; Bill Lin 001 (CoRR, 2022)

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces. - Saeed Vahidian; Mahdi Morafah; Weijia Wang 002; Vyacheslav Kungurtsev; Chen Chen 001; Mubarak Shah; Bill Lin 001 (AAAI, 2023)

When Do Curricula Work in Federated Learning? - Saeed Vahidian; Sreevatsank Kadaveru; Woonjoon Baek; Weijia Wang 002; Vyacheslav Kungurtsev; Chen Chen 001; Mubarak Shah; Bill Lin 001 (ICCV, 2023)

CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction. - Umar Khalid; Hasan Iqbal; Saeed Vahidian; Jing Hua 001; Chen Chen 001 (IROS, 2023)

Towards Building the Federated GPT: Federated Instruction Tuning. - Jianyi Zhang; Saeed Vahidian; Martin Kuo; Chunyuan Li; Ruiyi Zhang 002; Guoyin Wang 002; Yiran Chen 001 (CoRR, 2023)

FLIS: Clustered Federated Learning Via Inference Similarity for Non-IID Data Distribution. - Mahdi Morafah; Saeed Vahidian; Weijia Wang 002; Bill Lin 001 (IEEE Open J. Comput. Soc., 2023)

On Distributed Learning Techniques for Machine Learning - Saeed Vahidian (2023)

Efficient Dataset Distillation via Minimax Diffusion. - Jianyang Gu; Saeed Vahidian; Vyacheslav Kungurtsev; Haonan Wang; Wei Jiang 009; Yang You 001; Yiran Chen 001 (CVPR, 2024)

Exploring the Impact of Dataset Bias on Dataset Distillation. - Yao Lu; Jianyang Gu; Xuguang Chen; Saeed Vahidian; Qi Xuan 001 (CVPR Workshops, 2024)

Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. - Yuqi Jia; Saeed Vahidian; Jingwei Sun 002; Jianyi Zhang; Vyacheslav Kungurtsev; Neil Zhenqiang Gong; Yiran Chen 001 (ECCV (78), 2024)

Towards Building The Federatedgpt: Federated Instruction Tuning. - Jianyi Zhang; Saeed Vahidian; Martin Kuo; Chunyuan Li; Ruiyi Zhang 002; Tong Yu 001; Guoyin Wang 002; Yiran Chen 001 (ICASSP, 2024)

Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning. - Vyacheslav Kungurtsev; Yuanfang Peng; Jianyang Gu; Saeed Vahidian; Anthony Quinn; Fadwa Idlahcen; Yiran Chen 001 (CoRR, 2024)

CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation. - Qinsi Wang; Saeed Vahidian; Hancheng Ye; Jianyang Gu; Jianyi Zhang; Yiran Chen 001 (CoRR, 2024)

Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks. - Saeed Vahidian; Mahdi Morafah; Chen Chen 001; Mubarak Shah; Bill Lin 001 (IEEE Trans. Artif. Intell., 2024)

Group Distributionally Robust Dataset Distillation with Risk Minimization. - Saeed Vahidian; Mingyu Wang 004; Jianyang Gu; Vyacheslav Kungurtsev; Wei Jiang 009; Yiran Chen 001 (ICLR, 2025)

CONCORD: Concept-Informed Diffusion for Dataset Distillation. - Jianyang Gu; Haonan Wang; Ruoxi Jia 001; Saeed Vahidian; Vyacheslav Kungurtsev; Wei Jiang 009; Yiran Chen 001 (CoRR, 2025)