activity
20242026
most citedLarge-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

3 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

cs.NI2026

Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G Networks

Giovanni Perin, Michele Rossi, Enrique Tomás Martínez Beltrán +13

As 6G networks transition from theoretical frameworks into operational realities, artificial intelligence (AI) evolves from an add-on optimization tool into a distributed and inter…

cs.AI2026

Sequential Fairness Auditing with Limited Output Access

Ioannis Pitsiorlas, Martha V. Sourla, Marios Kountouris

External evaluations are becoming increasingly central to the governance of AI systems. In practice, however, independent auditors often have limited access to deployed models and…

cs.NI2025

Agoran: An Agentic Open Marketplace for 6G RAN Automation

Ilias Chatzistefanidis, Navid Nikaein, Andrea Leone +5

Next-generation mobile networks must reconcile the often-conflicting goals of multiple service owners. However, today's network slice controllers remain rigid, policy-bound, and un…

cs.LG2025

A Conformal Predictive Measure for Assessing Catastrophic Forgetting

Ioannis Pitsiorlas, Nour Jamoussi, Marios Kountouris

This work introduces a novel methodology for assessing catastrophic forgetting (CF) in continual learning. We propose a new conformal prediction (CP)-based metric, termed the Confo…

cs.NI2025★ 3 cited

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132

This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…

cs.CR2024

Trustworthy Intrusion Detection: Confidence Estimation Using Latent Space

Ioannis Pitsiorlas, George Arvanitakis, Marios Kountouris

This work introduces a novel method for enhancing confidence in anomaly detection in Intrusion Detection Systems (IDS) through the use of a Variational Autoencoder (VAE) architectu…