Connectionists: CFP: SS DSAA'25 - Collaborative AI: Advancing Federated Learning Across Disciplines (-- EXTENDED DEADLINE --, 16.05.25)

Frank-Michael Schleif fmschleif at googlemail.com
Sat May 3 16:55:43 EDT 2025


**Apologies for cross-posting. Please forward to anyone who may be
interested—thank you!**

### **DSAA 2025 SPECIAL SESSION**

**"Collaborative AI: Advancing Federated Learning Across Disciplines"**
📅 09–13 October 2025 — Birmingham, UK
🔗 [https://dsaa.ieee.org/2025](https://dsaa.ieee.org/2025)

This session focuses on federated machine learning in complex,
distributed environments where data cannot be centrally aggregated due
to privacy and regulatory constraints. Key challenges include
heterogeneity, communication efficiency, distributed model
representation, and privacy-preserving computation.

We welcome contributions on federated learning variants, model
compression, adaptive aggregation, and techniques such as differential
privacy. Applications of interest span IoT, recommendation systems,
medicine, automotive, sensor networks, and NLP—especially where
privacy, efficiency, and performance must be balanced.

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### **AIMS AND SCOPE**

We invite interdisciplinary submissions that bridge research
communities and explore the intersection of federated learning,
distributed intelligence, computational intelligence, and machine
learning.

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### **Topics of interest include, but are not limited to:**

* Learning in heterogeneous/distributed systems
* Communication protocols for federated model updates
* Model compression and adaptive aggregation
* Representation learning in distributed settings
* Approximate methods for distributed data analysis
* Federated learning variants (e.g., split learning, gossip learning,
decentralized FL)
* Shapley values and interpretability in federated contexts
* Multi-modality and multi-view federated learning
* Security and privacy in federated environments
* Differential privacy for FL
* Deep learning applications in federated settings
* Resource-efficient FL for constrained devices
* Pattern recognition in non-stationary and distributed systems

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🗓 **Submission Deadline:** 16 May 2025 (Anywhere on Earth)
📤 **Submit via:**
[https://openreview.net/group?id=IEEE.org/DSAA/2025](https://openreview.net/group?id=IEEE.org/DSAA/2025)

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### **Special Session Organizers**

Frank-Michael Schleif — Technical UAS Wuerzburg-Schweinfurt, Germany
Mirko Polato — Università di Torino, Italy
Barbara Hammer — University of Bielefeld, Germany
Manuel Röder — Technical UAS Wuerzburg-Schweinfurt, Germany


-- 
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Prof. Dr. rer. nat. habil. Frank-Michael Schleif
School of Computer Science
Technical University of Applied Sciences Würzburg-Schweinfurt
Sanderheinrichsleitenweg 20
Raum I-3.35
Tel.: +49(0) 931 351 18127
97074 Würzburg

Honorable Research Fellow
The University of Birmingham
Edgbaston
Birmingham B15 2TT
United Kingdom
-
email: frank-michael.schleif at thws.de
http://promos-science.blogspot.de/
https://www.techfak.uni-bielefeld.de/~fschleif/
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