77 citations · 109 across the 29 of their papers we have counts for
50 papers
Energy-Latency Trade-offs in O-RAN with Distributed Baseband Processing and AI Inference
Urooj Tariq, Rishu Raj, Shashi Raj Pandey +3
The Open Radio Access Network (O-RAN) architecture introduces flexible functional splits and open interfaces that enable distributed and centralized deployment of baseband processi…
Quantum Compression for Distributed Entanglement
Jan Østergaard, Shashi Raj Pandey, Christophe Biscio +2
We study compression strategies for multipartite entanglement distribution under uncertainty in the partitioning of the quantum state. When the partition is not known at the time o…
Multi-Agent Conformal Prediction with Personalized Statistical Validity
Martin V. Vejling, Christophe A. N. Biscio, Adrien Mazoyer +2
Uncertainty quantification is essential in high-stakes machine learning tasks. However, one of the principled solutions, conformal prediction, faces challenges under limited local…
Online Continual Learning for Anomaly Detection in IoT under Data Distribution Shifts
Matea Marinova, Shashi Raj Pandey, Junya Shiraishi +3
In this work, we present OCLADS, a novel communication framework with continual learning (CL) for Internet of Things (IoT) anomaly detection (AD) when operating in non-stationary e…
Goal-Oriented Access Optimization for ISAC-Enabled Digital Twins
Fabio Saggese, Federico Chiariotti, Shashi Raj Pandey +3
Digital twins (DTs) of physical systems enable real-time remote tracking, control, and learning, but require to be updated with environmental sensory data to maintain alignment wit…
Type-Based Unsourced Federated Learning With Client Self-Selection
Kaan Okumus, Khac-Hoang Ngo, Unnikrishnan Kunnath Ganesan +3
We address the client-selection problem in federated learning over wireless networks under data heterogeneity. Existing client-selection methods often rely on server-side knowledge…