Connectionists: [CfP] IJCNN 2025 Special Session on "Towards Robust Federated Learning: Addressing Data and Device Heterogeneity"

[Francesco Piccialli]

Dear colleagues,

We are organizing a Special Session on "Towards Robust Federated 
Learning: Addressing Data and Device Heterogeneity" at the International 
Joint Conference on Neural Networks (IJCNN 2025, 
https://2025.ijcnn.org/), to be held in Rome, Italy, from 30 June to 5 
July 2025.

We would appreciate if you forward this CfP to friends and colleagues 
that might be interested.

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*SPECIAL SESSION on Towards Robust Federated Learning: Addressing Data 
and Device Heterogeneity*

Federated Learning (FL) has emerged as a transformative framework for 
enabling AI while respecting privacy and complying with regulations.
However, addressing non-iid data distributions and device heterogeneity 
remains crucial for achieving scalable and effective FL applications.
This special session will bring together researchers and practitioners 
to explore innovative solutions and advance the field towards real-world 
deployments.

Topics of Interest:
We encourage submissions on topics including, but not limited to:

- Algorithmic advances for non-iid data and heterogeneous devices
- Fairness and robustness in FL
- Interpretability and explainability in FL models
- Personalization and client adaptivity
- Resource-aware FL frameworks
- Real-world applications in healthcare, IoT, and beyond
- Tools, benchmarks, and evaluation metrics

=== ORGANIZERS ===

Prof. Francesco Piccialli
Mathematical mOdelling and Data AnaLysis (M.O.D.A.L.) - 
https://www.labdma.unina.it
University of Naples Federico II, Italy

Dr. Diletta Chiaro
University of Naples Federico II, Italy

Dr. Fabio Giampaolo
University of Naples Federico II, Italy

=== SUBMISSION GUIDELINE ===

Prospective authors are invited to submit complete papers of no more 
than eight (8) pages in the IEEE two-column conference proceedings 
format. Please follow the submission guideline from the IJCNN 2025 
submission website.

Special session papers are treated the same as regular conference 
papers. Please specify that your paper is for the Special Session on 
Advances in Deep Learning for Biomedical Data Analysis.

All the accepted and presented papers will be published on IEEE Xplore 
Digital Library and indexed by Scopus.

=== AUTHORS INFORMATIONS ===

- Author instructions: 
https://2025.ijcnn.org/authors/initial-author-instructions
- Paper submission guidelines: 
https://cmt3.research.microsoft.com/IJCNN2025/
- Further information is available at: https://2025.ijcnn.org/

=== CONTACT ===

Any inquiries can be directed to Francesco Piccialli: 
francesco.piccialli at unina.it

///////////////////////////////////////////////////////////

Best regards,
Prof. Francesco Piccialli

-- 
Prof. Francesco Piccialli, Ph.D.
DMA - Department of Mathematics and Applications "R. Caccioppoli"
University of Naples Federico II, Italy
Tel. +39 081675787
Head and Scientific Director of M.O.D.A.L group:https://www.labdma.unina.it
Web:http://wpage.unina.it/francesco.piccialli/
Google Scholar:https://scholar.google.it/citations?user=CLNn_9gAAAAJ&hl=it
Institutional web:https://www.docenti.unina.it/francesco.piccialli
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