6 papers
Federated Low-Rank Koopman Learning for Multivariate Time-Series Anomaly Detection in IoT Systems
Tung-Anh Nguyen, Van-Phuc Bui, Anh Tuyen Le +4
Distributed IoT systems generate multivariate time-series streams for monitoring physical assets, servers, and embedded sensing platforms. Detecting abnormal temporal behavior is c…
Experimental Study of Low-Latency Video Streaming in an ORAN Setup with Generative AI
Andreas Casparsen, Van-Phuc Bui, Shashi Raj Pandey +2
Current Adaptive Bit Rate (ABR) methods react to network congestion after it occurs, causing application layer buffering and latency spikes in live video streaming. We introduce a…
Microsecond Federated SVD on Grassmann Manifold for Real-time IoT Intrusion Detection
Tung-Anh Nguyen, Van-Phuc Bui, Shashi Raj Pandey +3
This paper introduces FedSVD, a novel unsupervised federated learning framework for real-time anomaly detection in IoT networks. By leveraging Singular Value Decomposition (SVD) an…
Time-constrained Federated Learning (FL) in Push-Pull IoT Wireless Access
Van Phuc Bui, Junya Shiraishi, Petar Popovski +1
Training a high-quality Federated Learning (FL) model at the network edge is challenged by limited transmission resources. Although various device scheduling strategies have been p…
Scalable Data Transmission Framework for Earth Observation Satellites with Channel Adaptation
Van-Phuc Bui, Shashi Raj Pandey, Israel Leyva-Mayorga +1
The immense volume of data generated by Earth observation (EO) satellites presents significant challenges in transmitting it to Earth over rate-limited satellite-to-ground communic…
The Role of Game Networking in the Fusion of Physical and Digital Worlds through 6G Wireless Networks
Van-Phuc Bui, Shashi Raj Pandey, Andreas Casparsen +2
The sixth generation (6G) of wireless technology is seen as one of the enablers of real-time fusion of the physical and digital realms, as in Digital Twin, eXtended reality, or the…