Seyedsina Nabavirazavi

According to our database, Seyedsina Nabavirazavi authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions.

M. Hadi Amini, Md. Jueal Mia, Yasaman Saadati, Ahmed Imteaj, Seyedsina Nabavirazavi, Urmish Thakker, Md. Zarif Hossain, Awal Ahmed Fime, S. S. Iyengar

CoRR, March, 2025

Do We Really Need to Design New Byzantine-robust Aggregation Rules?

Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu, Wei Sun, Sundaraja Sitharama Iyengar, Haibo Yang

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning.

Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying, S. Sitharama Iyengar, Haibo Yang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Artificial Intelligence in Practice - Theory and Application for Cyber Security and Forensics

S. Sitharama Iyengar, Seyedsina Nabavirazavi, Yashas Hariprasad, Prasad HB, C. Krishna Mohan

Springer, ISBN: 978-3-031-89326-1, 2025

2024

Enhancing federated learning robustness through randomization and mixture.

Seyedsina Nabavirazavi, Rahim Taheri, Sundaraja Sitharama Iyengar

Future Gener. Comput. Syst., 2024

2023

Impact of Aggregation Function Randomization against Model Poisoning in Federated Learning.

Seyedsina Nabavirazavi, Rahim Taheri, Mohammad Shojafar, Sundaraja Sitharama Iyengar

Proceedings of the 22nd IEEE International Conference on Trust, 2023

2022

LAKEE: A Lightweight Authenticated Key Exchange Protocol for Power Constrained Devices.

Seyedsina Nabavirazavi, S. Sitharama Iyengar

CoRR, 2022