activity
20242026
most citedZero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things

1 citations · 1 across the 15 of their papers we have counts for

collaborators
Showing 2025Show all

8 papers · 1 filter

eess.SP2025

Environment-to-Link ISAC with Space-Weather Sensing for Ka-Band LEO Downlinks

Houtianfu Wang, Haofan Dong, Hanlin Cai +1

Ka-band low-Earth-orbit (LEO) downlinks can suffer second-scale reliability collapses during flare-driven ionospheric disturbances, where fixed fade margins and reactive adaptive c…

eess.SP2025

AFDM for LEO Inter-Satellite Links: Path-Level CSI Prediction and CRLB-Guided Pre-Equalization

Houtianfu Wang, Ozgur Akan

Low-Earth-orbit (LEO) inter-satellite links must cope with strongly doubly selective channels and aged channel state information (CSI). In this paper, the term ``sensing'' refers t…

cs.NI2025

Internet of Intelligent Reflecting Surfaces (IoIRS)

Fatih E. Bilgen, A. Sila Okcu, O. Tansel Baydas +1

Intelligent Reflecting Surfaces (IRS) are anticipated to serve as a key cornerstone of future wireless networks, providing an unmatched capability to deterministically shape electr…

cs.CR2025

Graph Representation-based Model Poisoning on Federated Large Language Models

Hanlin Cai, Haofan Dong, Houtianfu Wang +2

Federated large language models (FedLLMs) enable powerful generative capabilities within wireless networks while preserving data privacy. Nonetheless, FedLLMs remain vulnerable to…

cs.CR2025★ 1 cited

Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things

Kai Li, Conggai Li, Xin Yuan +8

This paper focuses on Zero-Trust Foundation Models (ZTFMs), a novel paradigm that embeds zero-trust security principles into the lifecycle of foundation models (FMs) for Internet o…

cs.CR2025

Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends

Kai Li, Zhengyang Zhang, Azadeh Pourkabirian +3

In this survey, we investigate the most recent techniques of resilient federated learning (ResFL) in CyberEdge networks, focusing on joint training with agglomerative deduction and…

eess.SP2025

Semantic Learning for Molecular Communication in Internet of Bio-Nano Things

Hanlin Cai, Ozgur B. Akan

Molecular communication (MC) provides a foundational framework for information transmission in the Internet of Bio-Nano Things (IoBNT), where efficiency and reliability are crucial…

eess.SY2025

Molecular Communication-Inspired Particle Collector-Transmitter (PaCoT) for Heavy Metal Removal from Human Circulatory System

Hilal Esra Yaldiz, Ozgur B. Akan

This study proposes a novel molecular communication (MC)-inspired nanomachine, PArticle COllector-Transmitter (PaCoT), to remove toxic heavy metals from the human circulatory syste…