Call for Papers The 16th International Symposium on Intelligent Distributed Computing (IDC 2023), 13th – 15th September 2023 at the Hamburg University of Applied Sciences (HAW Hamburg), 20099 Hamburg, Germany
http://IDC2023.haw-hamburg.de 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. ** Important Dates • Abstract Submission: 17th April 2023 AoE. • Paper submission: 24th April 2023 AoE. • Notification of Acceptance: 5th June 2023. • Final versions (camera ready): 26th June 2023. • Symposium date: 13th – 15th September 2023 All accepted papers will be included in the Symposium Proceedings, which will be published by Springer as part of their series Studies in Computational Intelligence (http://www.springer.com/series/7092) ** Paper Categories Submissions to IDC 2023 are solicited in three categories. • Full papers (14 pages + 2 pages references) • Short papers (7 pages + 1 page references) • Position papers (4 pages) All contribution must be formatted according to the Springer LaTeX llncs2e style. ** Submissions 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 2023 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. Please submit your paper at: https://easychair.org/conferences/?conf=idc20230 At least one author of each accepted paper needs to be registered and is expected to present it at the conference. ** Proceedings The proceedings will be published by Springer in the series Studies in Computational Intelligence, see www.springer.com For further information please contact: idc2...@haw-hamburg.de ** Scope The IDC 2023 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 advanvces • 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 application IDC 2023 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 2023. 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 For further information please contact: idc2...@haw-hamburg.de
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