Connectionists: Call for Papers: FLUID at AAAI2025

[Marzia Canzaniello]

*Dear Colleagues,*

***

We invite you to submit your research to the 1st Workshop on Federated 
Learning for Unbounded and Intelligent Decentralization (FLUID), which 
will be held on March 4th, 2025, at AAAI 2025 in Philadelphia, 
Pennsylvania, USA.

The FLUID workshop aims to address key challenges in Federated Learning 
(FL), particularly in achieving adaptability and scalability in 
decentralized AI systems, especially in environments with non-IID data 
and varied device capabilities. We strive to bridge the gap between 
theoretical advances and real-world applications by emphasizing 
practical methodologies and case studies. While adaptability, 
decentralization, and heterogeneity in FL are widely explored in 
academia, a significant gap remains in moving from simulation to 
real-world application. FLUID is designed to bridge this gap, focusing 
on solutions that are ready for real-life deployment in sectors like 
healthcare, smart cities, finance, and autonomous systems.


We are excited to announce two prominent keynote speakers @FLUID:

- Holger Roth, Principal Federated Learning Scientist at NVIDIA

- Yang Liu, Associate Professor at the Institute for AI Industry 
Research (AIR), Tsinghua University


Important Dates:

Full paper submission: November 24, 2024

Notification of acceptance: December 9, 2024

Camera-ready papers due: December 16, 2024

Workshop date: March 4, 2025


For detailed submission guidelines and further information, please visit 
the workshop website at https://fluidworkshop.github.io 
<https://fluidworkshop.github.io/>



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We look forward to your participation and valuable contributions to FLUID!



Best regards,

AAAI 2025 Organizing Committee of FLUID Workshop

Prof. David Camacho, Universidad Politecnica de Madrid, Spain

Dr. Diletta Chiaro, M.O.D.A.L., University Naples Federico II, Italy

Prof. Francesco Piccialli, M.O.D.A.L., University Naples Federico II, Italy

Prof. Shadi Albarqouni, University of Bonn| Helmholtz AI, Germany

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