IDC 2023
The 16th International Symposium on Intelligent Distributed Computing
13th – 15th September 2023 at the Hamburg University of Applied Sciences (HAW Hamburg)
20099 Hamburg, Germany

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.


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:

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:


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:



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

dblp: International Symposium on Intelligent Distributed Computing (IDC)

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.


General Chairs

Steering Committee

Program Committee

Important Dates

24h July 2023
Abstract submission
31th July 2023
Paper submission
11th Aug. 2023
Notification of acceptance
04th Sept. 2023
Final versions

This is a second, new CfP since we decided with Springer to produce the proceedings after the conference.


Registration Info

Please register via eventbrite:



  Detailed Schedule (PDF)


Michael Merz

Why NOT Blockchain?

Due to the successful development of crypto currencies over the past 14 years, researchers and innovators have been inspired by the technology to decentralise all possible business processes. Within the “blockchain in energy” community, there was a consensus that over 100 business processes will be moved to the blockchain sooner or later. Today, none of them is truly live. How could this happen? In his keynote, Michael Merz will tell the story of his own blockchain journey and how he developed from a blockchain protagonist to a disappointed critic. Michael will give several examples, how the technology fails and how small the residual terrain actually is for blockchain applications. But there is also good news: Some features such as anonymised data exchange can also be re-used for business processes with very specific requirements.

Michael Merz has studied computer science and received his PhD from University of Hamburg. He founded PONTON in the year 2001 and has demonstrated his expertise in various B2B integration projects over the past 22 years in several projects related to energy trading, grid operation and market platforms. He is expert in blockchain technology as PONTON has started developing blockchain-based infrastructures for energy trading (Enerchain) and grid management (Gridchain) during the years 2016 - 2020. Michael also contributes to research projects in energy trading such as NEW 4.0 and ETIBLOGG and he is author of the book "Blockchain for B2B Integration".


Sebastian Lehnhoff

Trust Assessment in Distributed Energy Systems

Assessing the state of distributed power systems is necessary for operational management and critical anomaly detection. Their increasing complexity, e.g., due to digitalization, sector coupling, privatization, poses major challenges and leads to still unsolved fundamental sub-problems. However, solutions to these are required to both ensure human operation of an increasingly diverse energy system and to safely and reliably realize the distributed automation and optimization of this cyber-physical energy system. This talk will provide insight into the current challenges in this area and present solution approaches for state modeling (Trust-based State Assessment), large-scale anomaly detection (Correlation-based Anomaly Detection), and automated countermeasure development (Adversarial Resilience Learning). The presented work is embedded in current research projects of the energy department at the OFFIS Institute for Information Technology in Oldenburg.

Sebastian Lehnhoff is a Full Professor for Energy Informatics at the University of Oldenburg. He received his doctorate at the TU Dortmund University in 2009. Prof. Lehnhoff is chairman of the board of the OFFIS Institute for Information Technology and speaker of its Energy R&D division. He is board member of the section „Energy Informatics“ within the German Informatics Society (GI) as well as an active member of numerous committees and working groups focusing on ICT in future Smart Grids. In 2022 he has been appointed to the Board of Trustees of the Volkswagen Foundation (Volkswagen Stiftung). He is CTO of openKONSEQUENZ e.G. – registered co-operative industry association for the development of modular Open-Source SCADA/EMS. He serves as an Executive Board Member of the Energy Research Centre of Lower Saxony (EFZN) as well as an Executive Committee Member of the ACM Special Interest Group on Energy Systems and Informatics (SIGEnergy). Prof. Lehnhoff is member of the German Academy of Science and Engineering (acatech) as well as a member of the Berlin-Brandenburg Academy of Sciences and Humanities (BBAW). He is author of over 180 refereed and peer-reviewed scientific publications.


Ingo Friese

New distributed cloud- and network architecture for true 3D Holography

XR-technologies have gained significant popularity across various domains, including gaming, entertainment, education, and industry. However, the resource-intensive nature of XR applications poses challenges in terms of processing power, energy consumption, and mobility. To address these challenges, split computing has emerged as a promising solution in first outlines of future network architectures like 5G/6G. But here end-to-end latency and bandwidth become challenges especially in case of 3D holography as a demanding example for an XR service. This presentation introduces the “6G NeXt” project, its real-world issues, scientific challenges as well as first approaches for a high-performance architecture supporting distributed 3D capturing and rendering of holograms.

Ingo Friese is an Engineer for Communication Technology, with more than 25 years of experience within the Telco industry. He currently holds the role of a Software Architect at T-Labs, a key innovation unit of Deutsche Telekom within the Group Technology division. Following the completion of his studies in 1996, Ingo initially served at a Telekom Operations Unit, where he played a pivotal role in the roll out of ADSL technology. In 2000, he transitioned to the position of a R&D Expert at BERKOM, a pioneering innovation firm concentrating on internet technologies. In 2008, Ingo made the move to T-Labs within Deutsche Telekom, actively participating in a range of both national and European research initiatives centered around communication technologies, Identity Management, Internet of Things, and Smart City solutions. His contributions extend to several standardization organizations, including Liberty Alliance, Kantara Initiative, IEEE, and oneM2M. At present, Ingo is member of the Spatial Computing Department, where his primary focus entails investigating the implications and prerequisites of Extended Reality (XR) technologies on network and cloud infrastructure.

Accepted Papers

Evgenia Novikova, Marat Bukhtiarov, Igor Kotenko, Elena Fedorchenko and Igor Saenko. Towards application of the tabular data transformation to images in the intrusion detection tasks using deep learning techniques
Lars Braubach, Kai Jander and Theresa Schulz. Robustness by Design
Bastian Silies and Lars Braubach. An Environmentally Friendly Race Timing System Based on Cameras Only
Peer Stelldinger and Mustafa Ibrahim. Local Distribution Privacy in Federated Learning
Elena-Ruxandra Luțan, Costin Bădică, Maria Ganzha and Marcin Paprzycki. Emergent Topic-Based Classification of Literature Books Using Social Data Analysis
Wolfgang Renz, Juri Backes and Jan Sudeikat. Risk-aware CPS operation scheme for self-organizing balancing-power pools
Michael Köhler-Bußmeier and Jan Sudeikat. Studying the Micro-Macro Dynamics in MAPE-like Adaption Processes
Diana Gratiela Berbecaru and Stefano Giannuzzi. Fighting TLS Attacks: an Autoencoder-based Model for Heartbleed Attack Detection
Nick Krüger and Marcel Völschow. Solar system object detection in time series data using synthetically trained neural networks
Philipp Kisters, Leonie van der Veen and Janick Edinger. Privacy-Preserving Edge Processing in Decentralized Citizen-centric Sensor Networks
Malin Radtke, Stefanie Holly and Astrid Nieße. Distributed Flexibility Fitness Landscape Analysis for Parameterization of Algorithms in Multi-Agent Energy Systems
Michele Grimaldi and Cedric Herpson. Multi-Agent Reward-based Intruder Capture
Heiko Rölke and Christine Seidler. Regional Planning Support as a Combination of Expert Judgement, Open Data, Simulation, and Machine Learning - Position Paper -
Alexander M. Busch, Kolja Eger and Björn Richerzhagen. Comparison of Power Consumption Models for 5G Cellular Network Base Stations
Dmitry Levshun. Approach for vulnerability prediction based on configuration similarity
Berndt Müller. The Future of Everything is Distributed – A Plea for Reliable, Responsible, and Resilient Systems Engineering
Tim Tiedemann, Anja Schmidt, Jesse Stricker and Jonas Fuhrmann. First Results of a Comparison of Machine Learning Hardware Accleration Approaches Using Field Programmable Gate Arrays in an Agricultural Mobile Robotic Applicaton Case
Ionut Muraretu, Daniel-Costel Bouleanu, Alexandra Vultureanu-Albisi, Costin Badica, Dimitris Safaris, Kaliopi Kravari and Periklis Chatzimisios. A Microservice-Based Multi-Agent System for the Job Market
Konstantin Izrailov, Nikita Romanov, Andrey Chechulin, Alexander Yaroshenko and Igor Kotenko. Intelligent selection of requirements for a secure design of Smart City transport infrastructure interfaces
Laif-Oke Clasen, Daniel Moldt, Marcel Hansson, Karl Ihlenfeldt and Lukas Seifert. Associative Composition of Web Service Invocation Sequences Based on Agent-Interaction-Diagrams
Petrit Vuthi, Jan Sudeikat and Irene Peters. Analyzing the Transformation Path of the Local Energy Infrastructure
Linda Rülicke, Michel Otto and Lars Braubach. A Data Space Experimentation Framework

IDC Closing Session
IDC Closing Session (15.09.2023)
f.l.t.r.: Lars Braubach & Bastian Silies (Best Paper Award), Stefanie Holly (Best Presentation Award), Michael Köhler-Bußmeier, Wolfgang Renz and Jan Sudeikat


Local Info

Welcome to Hamburg

Hamburg University of Applied Sciences

Berliner Tor 5, 20099 Hamburg, Germany

Email: IDC2023<at>

Past Events

IDC'2007, Craiova, Romania
IDC'2008, Catania, Italy
IDC'2009, Aya Napa, Cyprus
IDC'2010, Tanger, Marocco
IDC'2011, Delft, Netherlands
IDC'2012, Calabria, Italy
IDC'2013, Prague, Czech Rep.
IDC'2014, Madrid, Spain
IDC'2015, Guimarães, Portugal
IDC'2016, Paris, France
IDC'2017, Belgrade, Serbia
IDC'2018, Bilbao, Spain
IDC'2019, Saint-Petersburg, Russia
IDC'2020/IDC'2021, online, Italy
IDC'2022, online, Bremen & Brandenburg on the Havel, Germany

Bibliographic information available at the dblp computer science bibliography