|
| |||||||||||||||
ACAI 2026 : Advances in Collaborative AI Systems | |||||||||||||||
| Link: https://idfc-conference.org/acai/ | |||||||||||||||
| |||||||||||||||
Call For Papers | |||||||||||||||
|
=== ACAI 2026: Advances in Collaborative AI Systems ===
Workshop co-located with the International Conference on Intelligent Digital Forensics and Cybersecurity (IDFC 2026) September 1–4, 2026 · University of Trento, Trento, Italy Website: https://idfc-conference.org/acai/ Submissions (EasyChair): https://easychair.org/conferences/?conf=idfc2026 --- About the Workshop --- ACAI (Advances in Collaborative AI Systems) brings together researchers and practitioners across the full landscape of collaborative AI — 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. We welcome contributions on methods, systems, applications, and case studies, and explicitly encourage interdisciplinary work. --- Topics of Interest (non-exhaustive) --- • Federated and distributed learning: optimization, personalization, communication efficiency • Multi-agent systems and agentic AI: cooperation, coordination, planning, orchestration • Collaborative foundation models: distributed/federated adaptation, fine-tuning, alignment • Distributed AI systems: edge intelligence, serving, scalability • Trustworthy collaborative AI: privacy, robustness, security, fairness, accountability • Applications and case studies: healthcare, mobility, industry, IoT, cybersecurity • Benchmarks, evaluation methodologies, and reproducibility for collaborative AI --- Submission Types --- • Full Papers — up to 8 pages: rigorous studies, frameworks, or systems with validated results • Short Papers — up to 6 pages: exploratory or early-stage work, preliminary results • Poster & Demo Papers — up to 4 pages: late-breaking results, demonstrations, tool showcases --- Proceedings & Indexing --- 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. --- Important Dates (Anywhere on Earth) --- • Paper Submission: August 1, 2026 • Author Notification: August 12, 2026 • Camera-Ready Due: August 20, 2026 • Conference & Workshop: September 1–4, 2026 · Trento, Italy --- Organizers --- General Chairs: • Addi Ait-Mlouk — University of Skövde, Sweden • Tarik Agouti — Cadi Ayyad University, Morocco TPC Chairs: • Rachid Ouchikh — Lund University, Sweden • Mohamed Nezar Abourraja — University of Southern Denmark, Denmark --- Contact --- addi.ait-mlouk@his.se |
|