Search Results for author: Zexin Fang

Found 4 papers, 0 papers with code

Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimation

no code implementations3 Apr 2024 Zexin Fang, Bin Han, Hans D. Schotten

Federated learning (FL) offers a privacy-preserving collaborative approach for training models in wireless networks, with channel estimation emerging as a promising application.

Federated Learning Privacy Preserving

3D Cooperative Localization in UAV Systems: CRLB Analysis and Security Solutions

no code implementations15 Feb 2024 Zexin Fang, Bin Han, Hans D. Schotten

The MAGD adapts the gradient descent algorithm to handle the configuration changes in cooperative localization systems, ensuring accurate localization in dynamic scenarios.

Anomaly Detection

A Reliable and Resilient Framework for Multi-UAV Mutual Localization

no code implementations8 Sep 2023 Zexin Fang, Bin Han, Hans D. Schotten

This paper presents a robust and secure framework for achieving accurate and reliable mutual localization in multiple unmanned aerial vehicle (UAV) systems.

Artificial ASMR: A Cyber-Psychological Approach

no code implementations25 Oct 2022 Zexin Fang, Bin Han, C. Clark Cao, Hans. D. Schotten

The popularity of Autonomous Sensory Meridian Response (ASMR) has skyrockted over the past decade, but scientific studies on what exactly triggered ASMR effect remain few and immature, one most commonly acknowledged trigger is that ASMR clips typically provide rich semantic information.

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