10 papers
Resource-aware Sub-network Allocation for Heterogeneous Decentralized Learning
Zhuojun Tian, Ming Xiao, Mikael Skoglund
System heterogeneity in computation, communication, and memory can substantially limit synchronous decentralized learning, where each training round is constrained by resource-limi…
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…
Active Inference Framework for Closed-Loop Sensing, Communication, and Control in UAV Systems
Guangjin Pan, Liping Bai, Zhuojun Tian +3
Integrated sensing and communication (ISAC) is a core technology for 6G, and its application to closed-loop sensing, communication, and control (SCC) enables various services. Exis…
Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation
Yiwei Li, Shuai Wang, Zhuojun Tian +2
Federated Learning (FL) often adopts differential privacy (DP) to protect client data, but the added noise required for privacy guarantees can substantially degrade model accuracy.…
Sheaf-Based Decentralized Multimodal Learning for Next-Generation Wireless Communication Systems
Abdulmomen Ghalkha, Zhuojun Tian, Chaouki Ben Issaid +1
In large-scale communication systems, increasingly complex scenarios require more intelligent collaboration among edge devices collecting various multimodal sensory data to achieve…