Aim and Scope

Artificial Intelligence (AI) has become a transformative force in communication networks, reshaping their design, management, and optimization. In several areas, these systems hold the promise of significantly enhancing service provisioning and network operations. However, the adoption of AI-based systems in the telecom domain has been relatively slow, with operators expressing skepticism about their use for automated network management. This hesitation stems from several key challenges: first, the reliability of these models must be thoroughly understood before they can be deployed in critical infrastructure. Second, the opaque nature of ML/AI models—stemming from a lack of transparency—complicates understanding their behavior and decisions, preventing operators from fully trusting and adopting them. To address these issues, the 2nd International Workshop on Trustworthy and Explainable Artificial Intelligence for Networks (TX4NETs) aims to serve as a collaborative platform to drive advancements in AI systems that are not only powerful but also reliable, interpretable, and aligned with the expectations of network operators.

The 2nd International Workshop on Trustworthy and Explainable Artificial Intelligence for Networks seeks to bring together leading researchers, practitioners, and industry experts to delve into the latest advancements in AI and their applications in communication networks. The workshop will center on the foundational pillars of trustworthy AI, including transparency, robustness, reliability, adaptability, security, data privacy, and computational efficiency, with a focus on their implications for automating and optimizing network operations. Participants will engage in discussions around innovative techniques and methodologies that foster trustworthiness to address challenges in creating AI-driven network systems that inspire confidence.

Topics of Interest

• Trustworthy AI for communication networks

• Trustworthy AI for network management 

• Trustworthy AI for network security

• XAI for trustworthy AI in networks

• Reliability and robustness of AI models for Networks

• Human-in-the-Loop systems for AI in communication networks

• Fair resource allocation in communication networks

• Privacy, security, robustness and reliability of AI for networks 

• XAI in networking

• XAI for enhancing trustworthiness of AI in networks

• XAI-driven network performance optimization 

• XAI for the Edge/Cloud and Internet-of-Things

• XAI for network security, privacy, resilience and reliability

• XAI for federated learning-based solutions of 5G/6G and future networks

• XAI for digital twin-based solutions of 5G/6G and future networks

• Case studies and deployments of XAI in communication networks

• Explainable generative AI for networks 

• Explainable Reinforcement Learning in communication networks

• Causal machine learning for networking

• Ethical Considerations in AI for communication networks

• Interoperability and standards in AI for communication networks

• Regulatory landscape for AI in communication networks

Key Dates

• Conference Dates: 26-29 May 2025

• Workshop Day:  26 May 2025

• Workshop Paper Submission Deadline: 31 March 2025 18 April 2025

• Acceptance Notification: 2 May 2025

• Final (Camera Ready) Submission: 9 May 2025

Paper Submission

Authors are invited to submit original contributions that have neither been published nor submitted for publication elsewhere. Papers should be prepared using the IEEE double-column conference style (10pt font) and are limited to 6 pages including references.

Papers must be submitted electronically in PDF format through EDAS (link to edas).

All papers will be peer reviewed, and the comments will be provided to the authors. Once accepted, the paper will be included in the conference proceedings and will be eligible for submission to the IEEE Xplore Digital Library.

At least one author of each accepted paper is required to register and present the work in the workshop.

Organizing Committee

General Co-chairs

Omran Ayoub, University of Applied Sciences of Southern Switzerland, Switzerland

Tania Panayiotou, University of Cyprus, Cyprus

Technical Program Committee Co-chairs

Cristina Rottondi, Politecnico di Torino, Italy

Marco Savi, University of Milano-Bicocca, Italy

Keynote and Tutorial Chair

Sebastian Troia, Politecnico di Milano, Italy

Publicity Chairs

Nathalie Wehbe, Concordia University, Montreal, Canada

Giannis Savva, University of Cyprus, Cyprus

Publication Chair

Jacopo Talpini, University of Milano-Bicocca, Italy

Web Co-chairs

Hussein Fawaz, University of Applied Sciences of Southern Switzerland, Switzerland

Jean Pierre Asdikian, Politecnico di Milano, Italy

Social Media Chairs

Sonay Caner-Yıldırım, Erzincan Binali Yıldırım University, Turkey

Technically co-sponsored by the Eureka Cluster SUSTAINET-Advance Project

Technically co-sponsored by the SHIELDED Project, funded by the Italian Ministry of University and Research (MUR) under the PRIN 2022 PNRR framework
(EU Contribution – NextGenerationEU – M. 4, C. 2, I. 1.1), ID P2022ZWS82 

Technically co-sponsored by the Horizon Europe Pathfinder Open Project MUSMET