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IDC — 18th International Symposium on Intelligent Distributed Computing (IDC'2026)
11. Okt 2026 - 14. Okt 2026 • Thessaloniki, Griechenland
Veranstalter:
University of York Europe Campus
Zusammenfassung:
The 18th International Symposium on Intelligent Distributed Computing (IDC'2026) provides an open forum for enhancing the collaboration between researchers, lecturers, and students from Intelligent Computing and Distributed Computing communities. Intelligent Computing covers a hybrid palette of methods, techniques and their applications ranging from classical artificial intelligence, information and data sciences, multi-agent technologies or computational intelligence to more recent trends such as swarm intelligence, bio-inspired computation, cloud computing, machine learning or social/ cyber-physical trust and security. Distributed Computing develops methods and technology to build complex computational systems composed of collaborating software components scattered across diverse computational elements. IDC'2026 welcomes research works centered on all aspects of intelligent distributed computing, with an intention to balance between theoretical research ideas and their application to great variety of industrial cases. IDC'2026 will be co-located with the 12th Balkan Conference in Informatics (BCI), and the 11th International Conference on Web Intelligence, Machine Intelligence and Semantics (WIMS). Participants will have the opportunity to interact with the corresponding research communities and submit papers to the co-located events.
Kontakt:
IDC Secretariat;     Email: contact.for.more.info@proton.me
Themen:
Cloud Computing, Distributed Swarm Robotics Systems, Ephemeral and Unreliable computing, Intelligent Distributed Applications, Intelligent Distributed and High-Performance Architectures, Intelligent Distributed Knowledge Representation and Processing, Intelligent Transportation Systems, Internet of Things, Nature-inspired Methods for Supervised and Unsupervised Data Mining, Networked Intelligence, Organization and Management, Parallel Metaheuristics for Optimization.
Eintrags-ID:
1696299


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