FLTA26 Call for Papers [July 1, 2026] (Oct 27-30, Paris, France)

 
We hope to welcome you to the Federated Learning Conference FLTA 2026!, Paris!  
The 4th IEEE International Conference on Federated Learning Technologies and Applications (FLTA 2026)
27-29 October 2026 | Paris, France | Hybrid Conference
Technically Co-Sponsored by IEEE France Section, IEEE Computer Chapter, IEEE Computational Intelligence Chapter
🗓 Submission Deadline: 01 July 2026
Also
The International Conference on Agentic, Generative, and Cognitive AI Systems (AGCS 2026)
FLTA 2026 is hosted by 4 leading institutes in Paris:
ESIEA, Sorbonne University, CY Cergy Paris Université, and Université Paris 8
LEADERSHIP & PARTNERS
Honorary Chair and keynote: Brendan McMahan (Google)
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)
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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