FLTA 2026 2nd Call For Papers

*The 4th IEEE International Conference on Federated Learning Technologies
and Applications (FLTA 2026)*
<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fflta-conference.org%2Fflta-2026%2F&data=05%7C02%7Cferas.awaysheh%40umu.se%7C4418437600e84b8c33b208dea93861da%7C5a4ba6f9f5314f329467398f19e69de4%7C0%7C0%7C639134256797136225%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=H7rUMKCTipo5ehHKjlGkdcMx40QtsQa6hBl6uxvqXi0%3D&reserved=0>
*27-29 October 2026 | Paris, France | Hybrid Conference*
Technically Co-Sponsored by* IEEE France Section, IEEE Computer Chapter,
IEEE Computational Intelligence Chapter*
🗓 *Submission Deadline:30 July 2026*
*https://flta-conference.org/flta-2026/index.php*
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*FLTA 2026 is hosted by 4 leading institutes in Paris:*

   -  local host,: ESIEA,
   - In partnership with: Sorbonne University, CY Cergy Paris Université,
   and Université Paris 8

*LEADERSHIP & PARTNERS*

   - Honorary Chair: *Brendan McMahan *(Google)
   - General Chairs: *Virginia Smith*, Carnegie Mellon University, USA
and *Thippa
   Reddy Gadekallu*, Zhejiang A&F University, Hangzhou, China
   - Industry Chairs: *Holger Roth* (NVIDIA),* Nic Lane *(University of
   Cambridge / Flower Labs)

*Industry Partners:*

   - Flower Labs, UK
   - NVIDIA (FLARE), USA
   - Google Cloud, USA
   - Scaleout (FEDn framework)

The event will be hosted by: *ESIEA Graduate School of Engineering*
<https://www.esiea.fr/en/homepage/>*,** Paris.  *
*Topics of interest:*
*FLTA 2026* welcomes contributions that advance research and innovation in
distributed, collaborative, and secure AI systems. Submissions are
encouraged from a broad range of interdisciplinary topics, both theoretical
and application-driven, including but not limited to:

   - *Federated Learning Technologies *
   - *Distributed and Collaborative Intelligence*
   - *Privacy-Preserving and Secure AI*
   - *Data Heterogeneity and Distribution Challenges*
   - *Communication Efficiency and Scalability*
   - *Edge-Cloud Continuum and Heterogeneous Systems*
   - *Fairness, Bias, and Anomaly Detection in Federated Learning*
   - *Real-world applications and Domain-Specific Implementations*
   - *Cross-Disciplinary and Emerging Trends*
   - *FL Software engineering and Architectural approaches  *

We also encourage submissions exploring *cross-sector collaborations, case
studies, and experimental results* demonstrating distributed AI's
effectiveness* in real-world scenarios*.
👉 *SUBMIT YOUR PAPER NOW:* *https://conferences.sparcly.ai/FLTA2026*
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*📅 Important Dates*
Full Paper Submission Date: *July 30, 2026, *(second deadline)
Notification to Authors: *August 29, 2026 *
Camera Ready Submission: *September 15 2026 *
*Contact:*
Please send any inquiry on FLTA to *[email protected]
<[email protected]>*

*WHY SUBMIT TO FLTA 2026?*

   - 🎯 *Focused Venue* — The first and leading conferences dedicated
   entirely to Federated Learning and Distributed AI
   - 🤝 *Academia + Industry* — Strong collaboration with leading companies
   - 🏆 *Awards & Support* — Best paper awards + GPU credits (FLOWER and
   NVIDIA)
   - 📈 Extended papers will be invited to Q1 Journals
   - 🌍 *High Visibility* — IEEE-indexed proceedings


Also consider these events:

   - *IEEE The International Conference on Agentic, Generative, and
   Cognitive AI Systems (AGCS 2026)*. Paris France 27-30 October 2026.
   https://agcs-conference.tech/index.php
   - The 4th *International Federated Learning Summer School* 19-26 October
   2026, Paris France https://school.flta-conference.org/
   - Winter School on Federated & Agentic Learning for Cybersecurity. Alicante
   Spain 18-22 January 2027
   https://demo2.flta-conference.org/falconschool2027/index.php

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