4 citations · 5 across the 11 of their papers we have counts for
5 papers · 1 filter
Strategic Task Offloading for Delay-Sensitive IoT Applications: A Game-Theory-Based Demand-Supply Mechanism with Participation Incentives
Azadeh Pourkabirian, Amir Masoud Rahmani, Kai Li +1
Delay-sensitive Internet of Things (IoT) applications have drawn significant attention. Running many of these applications on IoT devices is challenging due to the limited processi…
A New Hybrid Precoding Approach for Multi-user Massive MIMO over Fading Channels
Azadeh Pourkabirian, Kai Li, Photios A. Stavrou +1
Hybrid precoding is an indispensable technique to harness the full potential of a multi-user massive multiple-input, multiple-output (MU-MMIMO) system. In this paper, we propose a…
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…
Undermining Federated Learning Accuracy in EdgeIoT via Variational Graph Auto-Encoders
Kai Li, Shuyan Hu, Bochun Wu +3
EdgeIoT represents an approach that brings together mobile edge computing with Internet of Things (IoT) devices, allowing for data processing close to the data source. Sending sour…
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…