6 papers
Remote Rowhammer Attack using Adversarial Observations on Federated Learning Clients
Jinsheng Yuan, Yuhang Hao, Weisi Guo +2
Federated Learning (FL) has the potential for simultaneous global learning amongst a large number of parallel agents, enabling emerging AI such as LLMs to be trained across demogra…
Agentic Assistant for 6G: Turn-based Conversations for AI-RAN Hierarchical Co-Management
Udhaya Srinivasan, Weisi Guo
New generations of radio access networks (RAN), especially with native AI services are increasingly difficult for human engineers to manage in real-time. Enterprise networks are of…
Guaranteeing and Explaining Stability across Heterogeneous Load Balancing using Calculus Network Dynamics
Mengbang Zou, Yun Tang, Adolfo PerrusquÃa +1
Load balancing between base stations (BSs) allows BS capacity to be efficiently utilised and avoid outages. Currently, data-driven mechanisms strive to balance inter-BS load and re…
KP-A: A Unified Network Knowledge Plane for Catalyzing Agentic Network Intelligence
Yun Tang, Mengbang Zou, Zeinab Nezami +2
The emergence of large language models (LLMs) and agentic systems is enabling autonomous 6G networks with advanced intelligence, including self-configuration, self-optimization, an…
Data-driven Method to Ensure Cascade Stability of Traffic Load Balancing in O-RAN Based Networks
Mengbang Zou, Yun Tang, Weisi Guo
Load balancing in open radio access networks (O-RAN) is critical for ensuring efficient resource utilization, and the user's experience by evenly distributing network traffic load.…
Modelling Networked Dynamical System by Temporal Graph Neural ODE with Irregularly Partial Observed Time-series Data
Mengbang Zou, Weisi Guo
Modeling the evolution of system with time-series data is a challenging and critical task in a wide range of fields, especially when the time-series data is regularly sampled and p…