most citedLLM-Enabled In-Context Learning for Data Collection Scheduling in UAV-assisted Sensor Networks

6 citations · 6 across the 4 of their papers we have counts for

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cs.CR2025

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

Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu +3

Federated learning (FL) allows multiple clients to collaboratively train a global machine learning model through a server, without exchanging their private training data. However,…

cs.CR2022

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

Seyedsina Nabavirazavi, S. Sitharama Iyengar

The rapid development of IoT networks has led to a research trend in designing effective security features for them. Due to the power-constrained nature of IoT devices, the securit…