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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…