Advances in Collaborative AI Systems · ACAI 2026 · IDFC 2026

Advances in Collaborative AI Systems (ACAI)

Federated Learning Multi-Agent & Agentic AI Foundation Models Distributed AI Trustworthy AI Applications

All accepted papers will appear in the IDFC 2026 proceedings published by IOS Press (Open Access), and indexed in Scopus, Web of Science, EI Compendex, Google Scholar, and DBLP.

2026 · Trento, Italy

Call for Papers

ACAI (Advances in Collaborative AI Systems) is a workshop co-located with the International Conference on Intelligent Digital Forensics and Cybersecurity (IDFC 2026), held in Trento, Italy. ACAI brings together researchers and practitioners across the full landscape of collaborative AI systems — federated learning, multi-agent systems, foundation models, agentic AI, distributed AI, and trustworthy AI. As machine learning moves from centralized labs into edge devices, hospitals, factories, vehicles, autonomous agents, and consumer products, the systems that train, serve, and coordinate these models are increasingly collaborative by design.

The workshop explores how collaborative AI systems are built, deployed, and evaluated across diverse settings: how agents cooperate and coordinate, how models are trained across distributed parties, how foundation models can be adapted collaboratively, and how applications across domains benefit from collaborative intelligence. ACAI welcomes contributions on methods, systems, applications, and case studies, and explicitly encourages interdisciplinary work spanning federated and distributed learning, multi-agent and agentic AI, collaborative foundation models, and the practical concerns — including privacy, robustness, and trust — that arise when intelligent systems work together.

Submission Types

Research Papers

Up to 8 pages

Rigorous studies, frameworks, or systems with validated results.

Short Papers

4-6 pages

Exploratory or early-stage work, position papers, or focused contributions.

Poster Papers

2 pages

Preliminary findings or late-breaking results presented as posters.

Demo Papers

2-4 pages

Live demonstrations of working tools, prototypes, or interactive systems.

Artifacts

2-4 pages

Reproducible code, datasets, or benchmarks accompanying a contribution.

Abstracted / Indexed in

All accepted papers will appear in the IDFC 2026 proceedings published by IOS Press (Open Access), and indexed in:

View Proceedings on IOS Press

Important Dates

All deadlines are Anywhere on Earth (AoE) unless stated otherwise. Dates aligned with the IDFC 2026 main conference.

Paper Submission 1 August 2026
Author Notification 12 August 2026
Camera-Ready Due 20 August 2026
Conference & Workshop 1–4 September 2026 · Trento

ACAI Organizers

General Chairs

Addi Ait-Mlouk
University of Skövde, Sweden
Omar Achbarou
Cadi Ayyad University, Morocco

TPC Chairs

Rachid Ouchikh
Lund University, Sweden
Mohamed Nezar Abourraja
University of Southern Denmark, Denmark

Program Committee

Tarik Agouti
Cadi Ayyad University, Morocco
Chaima Lhasnaoui
Cadi Ayyad University, Morocco
Fatiha Ait Baali
Cadi Ayyad University, Morocco
Sonika Arora
Salesforce, USA
Mamta Pandey
The University of Aizu, Japan
Lhoussaine Ait Ben Mouh
Université Sultan Moulay Slimane, Morocco
Vishwanath Bijalwan
Amity University Punjab, India
Pandit Vivek Kumar Pandey
SRM Institute of Science and Technology (SRMIST), India
Sadi Alawadi
Blekinge Institute of Technology, Sweden
Oladayo Oladejo
Stellenbosch University, Stellenbosch, South Africa
Ubaida Fatima
NED University of Engineering and Technology, Karachi, Pakistan

Hosted by the University of Trento

ACAI 2026 will be held with IDFC 2026 at the Department of Information Engineering and Computer Science, University of Trento, in Trento, Italy.

Location

  • Host institution: University of Trento
  • Department: Information Engineering and Computer Science
  • Venue: Polo Ferrari — Povo 1
  • City: Trento, Italy

Contact

For questions about ACAI 2026, please reach out to intelligent.systems2026@gmail.com.

Ready to submit?

Share your work on collaborative AI — federated, multi-agent, foundation models, distributed, trustworthy, or applied. Submission deadline: 1 August 2026 (AoE).