Call for Papers

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
      • Multi agent systems
      • Multi-agent machine learning
      • Multi-agent reinforcement learning
      • Nature-inspired methods for supervised and unsupervised data mining
      • Networked Intelligence, Organization and Management
      • Parallel metaheuristics for optimization
      • Smart City Applications, Smart Grid Applications
      • Smart Connectivity: Exploring the Potential of the Internet of Things (IoT)