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16th IDC 2023, Hamburg, Germany
- Michael Köhler-Bußmeier, Wolfgang Renz, Jan Sudeikat:
Intelligent Distributed Computing XVI - 16th International Symposium on Intelligent Distributed Computing, IDC 2023, Hamburg, Germany, September 13-15, 2023. Studies in 1138, Springer 2024, ISBN 978-3-031-60022-7
Keynote Abstracts
- Ingo Friese:
New Distributed Cloud- And Network Architecture for True 3D Holography. 3 - Sebastian Lehnhoff:
Trust Assessment in Distributed Energy Systems. 4 - Michael Merz:
Why NOT Blockchain? 5-6
Position Papers
- Peer Stelldinger
, Mustafa F. R. Ibrahim
:
Local Distribution Privacy in Federated Learning. 9-12 - Berndt Müller:
Future Proofing Systems Engineering: Reliability, Responsibility, and Resilience. 13-16 - Petrit Vuthi, Jan Sudeikat, Irene Peters:
Analyzing the Transformation Path of the Local Energy Infrastructure. 17-20 - Heiko Rölke
, Christine Seidler:
Regional Planning Support as a Combination of Expert Judgement, Open Data, Simulation, and Machine Learning. 21-24
Learning, Analysis and Prediction
- Tim Tiedemann, Anja Schmidt, Jesse Stricker, Jonas Fuhrmann:
First Results of a Comparison of Machine Learning Hardware Acceleration Approaches Using Field Programmable Gate Arrays in an Agricultural Mobile Robotic Application Case. 27-39 - Diana Gratiela Berbecaru
, Stefano Giannuzzi:
Fighting TLS Attacks: An Autoencoder-Based Model for Heartbleed Attack Detection. 40-54 - N. Krüger, M. Völschow:
Solar System Object Detection in Time Series Data Using Synthetically Trained Neural Networks. 55-69 - Dmitry Levshun
:
Comparative Analysis of Machine Learning Methods in Vulnerability Categories Prediction Based on Configuration Similarity. 70-81
Data Analysis
- Evgenia Novikova
, Marat Bukhtiarov, Igor V. Kotenko
, Elena Fedorchenko
, Igor Saenko
:
Towards Application of the Tabular Data Transformation to Images in the Intrusion Detection Tasks Using Deep Learning Techniques. 85-100 - Elena-Ruxandra Lutan
, Costin Badica
, Maria Ganzha, Marcin Paprzycki:
Emergent Topic-Based Classification of Literature Books Using Social Data Analysis. 101-115 - Linda Rülicke, Michel Otto, Lars Braubach:
A Data Space Experimentation Framework. 116-131
Smart Cities and Energy Systems
- Konstantin E. Izrailov
, Nikita Romanov
, Andrey Chechulin
, Alexander Yaroshenko
, Igor V. Kotenko
:
Intelligent Selection of Requirements for a Secure Design of Smart City Transport Infrastructure Interfaces. 135-148 - Philipp Kisters, Leonie van der Veen, Janick Edinger:
Privacy-Preserving Edge Processing in Decentralized Citizen-Centric Sensor Networks. 149-163 - Malin Radtke
, Stefanie Holly
, Astrid Nieße
:
Distributed Flexibility Fitness Landscape Analysis for Parameterization of Algorithms in Multi-agent Energy Systems. 164-179 - Wolfgang Renz, Juri Backes, Jan Oliver Sudeikat:
Risk-Aware CPS Operation Scheme for Self-organizing Balancing-Power Pools. 180-196
Networks
- Alexander M. Busch, Kolja Eger, Björn Richerzhagen:
Comparison of Power Consumption Models for 5G Cellular Network Base Stations. 199-212 - Bastian Silies, Lars Braubach:
An Environmentally Friendly Race Timing System Based on Cameras Only. 213-231 - Laif-Oke Clasen, Daniel Moldt, Marcel Hansson, Karl Ihlenfeldt, Lukas Seifert:
Associative Composition of Web Service Invocation Sequences Based on Agent Interaction Diagrams. 232-248
Multi-Agent Systems
- Michele Grimaldi, Cédric Herpson:
Multi-agent Reward-Based Intruder Capture. 251-266 - Lars Braubach, Theresa Schulz, Kai Jander:
Robustness by Design. 267-284 - Michael Köhler-Bußmeier, Jan Sudeikat:
Studying the Micro-Macro-Dynamics in MAPE-Like Adaption Processes. 285-300 - Ionut Muraretu, Daniel-Costel Bouleanu, Alexandra Vultureanu-Albisi, Costin Badica, Dimitrios Sarafis, Kalliopi Kravari, Periklis Chatzimisios:
A Microservice-Based Multi-agent System for the Job Market. 301-316
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