9 papers
Active Inference-Enabled Agentic Closed-Loop ISAC with Long-Horizon Planning
Guangjin Pan, Zhuojun Tian, Mehdi Bennis +1
Wireless agentic systems enable agents to autonomously perceive, reason, and act. However, existing works neglect the tight coupling between sensing and control in closed-loop inte…
Semantic-based Distributed Learning for Diverse and Discriminative Representations
Zhuojun Tian, Chaouki Ben Issaid, Mehdi Bennis
In large-scale distributed scenarios, increasingly complex tasks demand more intelligent collaboration across networks, requiring the joint extraction of structural representations…
Quality-Aware Denoising of Ultra-Short TDoA Measurements for 5G-NR UAV Localization
Zexin Fang, Bin Han, Anjie Qiu +2
Reliable positioning is essential for Uncrewed Aerial Vehicles (UAVs) in safety-critical urban operations, yet achieving sub-meter accuracy under stringent latency constraints rema…
Balancing Functionality and GDPR-Driven Privacy in ISAC Trajectory Sharing
Zexin Fang, Bin Han, Zhuojun Tian +1
Integrated Sensing and Communications (ISAC) enables trajectory sharing that enhances beamforming, resource allocation, and cooperative perception, yet raises fundamental privacy c…
Compositional Distributed Learning for Multi-View Perception: A Maximal Coding Rate Reduction Perspective
Zhuojun Tian, Mehdi Bennis
In this letter, we formulate a compositional distributed learning framework for multi-view perception by leveraging the maximal coding rate reduction principle combined with subspa…
SheafAlign: A Sheaf-theoretic Framework for Decentralized Multimodal Alignment
Abdulmomen Ghalkha, Zhuojun Tian, Chaouki Ben Issaid +1
Conventional multimodal alignment methods assume mutual redundancy across all modalities, an assumption that fails in real-world distributed scenarios. We propose SheafAlign, a she…