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The 5th IEEE International Workshop on Distributed Intelligent Systems
(DistInSys 2025)

Bologna, Italy - 2-5 July, 2025

https://fcrlab.unime.it/calls/distinsys2025

in conjunction with the 30th IEEE Symposium on Computers and
Communications (ISCC 2025)

https://ieee-iscc.computer.org/2025/

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MISSION:
The digital environment is, nowadays, populated by sensing devices that are ubiquitous,
strongly interconnected, and heterogeneous. The vision of a large ecosystem of machines
that can cooperate in solving articulated tasks is becoming realistic day by day.
Teams of agents, sensors, and robots are ever more capable to sense the environment,
process the gathered information, and act in structured and unstructured scenarios,
even in space and harsh environments.

To deal with complexity and a large amount of produced data,
it is necessary to decompose systems into smaller, distributed, efficient, intelligent,
and autonomous units responsible for local decision-making and control,
let them explore knowledge stored locally and communicate among themselves only when needed.
That solutions opens issues when discussing the systems design, data, and knowledge exchange,
analysis of proper and optimal coupling of system parts as well as integration of subsystems,
introducing a completely diverse nature into the overall framework.

Given the depth of interests and applications, we invite all interested researchers,
scientists and engineers to take part in DistInSys 2025

TOPICS OF INTEREST

Papers are solicited in all areas of Distributed Intelligent Systems, including, but not restricted to:

- Federated Learning: methods and applications
- Federated Reinforcement Learning
- Distributed Optimization Methods
- Machine Learning Methods for Multi-Agent Systems
- Distributed Architecture for Machine Learning
- Middleware for Distributed Learning and their applications
- Distributed Learning for Remote Sensing
- Distributed Learning for Satellite and Space Applications
- Distributed Learning for Autonomous Vehicles
- Swarm Learning
- Deep Learning for Distributed Systems Applications
- Deep Learning for Vision and Image Processing
- Knowledge Representation Methods for Distributed Learning Systems
- Knowledge Distillation and Quantization for Distributed Learning Systems
- Remote Sensing for Environmental Monitoring
- Internet of Autonomous Things
- Distributed Cooperative Perception, Action and Planning
- Distributed Decision Making
- Multi-Agent and Swarm Robotics
- Autonomous Systems, Vehicles, and Drones
- Sensor and Actuator networks
- Wireless and Robotic Sensor Networks
- Cloud Multi-Robot Systems
- Ambient Intelligence
- Distributed Cyber-Physical Systems
- Mobile, Pervasive, and Ubiquitous Computing
- Hyperdistributed Applications in the Cloud Continuum
- Trustworthy and verifiable distributed systems
- Societal/economic/ethical/regulatory/educational considerations for distributed autonomous robotic systems

IMPORTANT DATES:
- Full-length paper submission: Feb 10, 2025 (EXTENDED)
- Author notification: Mar 14, 2025
- Camera-ready: tbd
- Conference registration: tbd
* Each deadline expires at 23:59:59 EEST


PAPER SUBMISSION:

In order to download manuscript templates for IEEE conference proceedings, use the following link:

https://www.ieee.org/conferences/publishing/templates.html

Papers can be submitted directly to EDAS:

https://edas.info/newPaper.php?c=33134

Note that accepted papers up to 6 pages will be published with no additional charge. Exceeding pages will be charged an additional fee. Papers exceeding 7 pages will not be accepted. At least one author of each accepted paper is required to register to the conference and present the paper. Only registered and presented papers will be published in the conference proceedings. Accepted papers will be included in the ISCC 2024 proceedings and will be submitted for inclusion to IEEE Xplore. The ISCC proceedings have been indexed in the past by ISI, DBLP and Scopus. This makes the ISCC conference one of the publication venues with very high visibility and impact in both Computer and Communications areas.

Please visit https://fcrlab.unime.it/calls/distinsys2025 for more information.

Kind regards,
DistInSys Organization
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