Saeed Vahidian

Orcid: 0000-0002-1258-0343

According to our database1, Saeed Vahidian authored at least 26 papers between 2014 and 2024.

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Bibliography

2024
Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks.
IEEE Trans. Artif. Intell., March, 2024

Exploring the Impact of Dataset Bias on Dataset Distillation.
CoRR, 2024

Group Distributionally Robust Dataset Distillation with Risk Minimization.
CoRR, 2024

2023
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents.
CoRR, 2023

Efficient Dataset Distillation via Minimax Diffusion.
CoRR, 2023

Towards Building the Federated GPT: Federated Instruction Tuning.
CoRR, 2023

CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction.
IROS, 2023

When Do Curricula Work in Federated Learning?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Neural Routing in Meta Learning.
CoRR, 2022

FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution.
CoRR, 2022

Spectrum Pursuit With Residual Descent for Column Subset Selection Problem: Theoretical Guarantees and Applications in Deep Learning.
IEEE Access, 2022

2021
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems Workshops, 2021

2020
Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Data Sampling for Graph Based Unsupervised Learning: Convex and Greedy Optimization.
CoRR, 2019

On the Security Analysis of a Cooperative Incremental Relaying Protocol in the Presence of an Active Eavesdropper.
IEEE Access, 2019

2017
Bidirectional AF Relaying With Underlay Spectrum Sharing in Cognitive Radio Networks.
IEEE Trans. Veh. Technol., 2017

Network-Coded Two-Way Relaying in Spectrum-Sharing Systems With Quality-of-Service Requirements.
IEEE Trans. Veh. Technol., 2017

A framework for super-resolution of scalable video via sparse reconstruction of residual frames.
Proceedings of the 2017 IEEE Military Communications Conference, 2017

Power allocation and cooperative diversity in two-way non-regenerative cognitive radio networks.
Proceedings of the IEEE International Conference on Communications, 2017

A novel low-complexity framework in ultra-wideband imaging for breast cancer detection.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2015
Multi-Hop Cooperative Communication Technique for Cognitive DF and AF Relay Networks.
Wirel. Pers. Commun., 2015

Relay Selection for Security-Constrained Cooperative Communication in the Presence of Eavesdropper's Overhearing and Interference.
IEEE Wirel. Commun. Lett., 2015

2014
Performance analysis of two-way decode-and-forward relaying in the presence of co-channel interferences.
IET Commun., 2014


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