The main goal of the IDC symposium is to gather researchers and practitioners to foster and ease rich discussions around the latest findings, research achievements and ideas in the area of Intelligent Distributed Computing.

Scope
The IDC 2024 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.

Thus, contributions are encouraged that focus on the following areas, but are not limited to:

Theoretical advances
Methodological advances based on formal models and architecture frameworks
Knowledge compilation, problem encodings and reformulations
Practical advances in distributed algorithms and tools
Case studies based on reproducible simulations, laboratory and field tests
Standardization issues in intelligent distributed systems applications
IDC 2024 welcomes research works centered on all aspects of intelligent distributed computing, with an intention to balance between theoretical research contributions and their application to great variety of industrial cases. To this end, scholars and practitioners from academia and industrial fields are invited to submit high-quality original scientific contributions to IDC 2024. The structure of the symposium consists of regular sessions with technical contributions reviewed and selected by an international program committee, as well as of special sessions and workshops targeted on multi-disciplinary and cutting-edge topics.

Topics include, but are not restricted to:

Distributed swarm robotics systems
Distributed / Decentralized / Federated Machine Learning
Ephemeral and Unreliable computing
Intelligent Distributed Applications
Intelligent Distributed and High-Performance Architectures
Intelligent Distributed Knowledge Representation and Processing
Intelligent Distributed Ledgers, Blockchains and AI
Intelligent Energy Systems
Intelligent Production Systems, Intelligent Transportation Systems
Machine Learning Methods for Distributed Systems
Nature-inspired methods for supervised and unsupervised data mining
Networked Intelligence, Organization and Management
Parallel metaheuristics for optimization
Smart City Applications, Smart Grid Applications

Submission will undergo a peer review process and should not contain any identifying information about the authors or their universities. Submissions must not be under review elsewhere nor be submitted elsewhere while under review for IDC 2024 and should not consist of previously published material. Submissions not consistent with the above guidelines may be returned without review. Submissions and reviews are automatically and exclusively handled by the EasyChair conference system.

The proceedings will be published by Springer in the series Studies in Computational Intelligence.

Submissions to IDC 2024 are solicited in three categories:

Full papers (14 pages + 2 pages references)
Short papers (7 pages + 1 page references)
Position papers (4 pages)