Federated Learning Technologies and Applications Conference

FLTA: Federated Learning Technologies & Applications Conference FLTA is a leading international conference dedicated to federated learning, privacy-preserving AI, Edge Intelligence, Collaborative AI, and decentralized machine learning. It serves as a platform for researchers, industry leaders, and practitioners to discuss the latest advancements, challenges, and real-world applications of recent trends in AI. FLTA 2025 is becoming the premier venue for exploring the latest advancements in Federated Learning (FL). Connect with global experts, present groundbreaking research, and engage in high-impact discussions on scalable, efficient, and privacy-aware FL solutions. 🌟 Key topics include: ✅ Secure Model Aggregation & Adaptive Optimization ✅ Communication-Efficient & Privacy-Preserving FL ✅ Real-Time FL Applications & Cross-Device Learning ✅ Fairness, Bias, and Trustworthy AI in FL ✅ Edge-Cloud Continuum & Heterogeneous Systems ✅ Domain-Specific FL Applications in Healthcare, IoT, Cybersecurity & More! 📝 Important Dates: 📌 Full Paper Submission: June 1, 2025 📌 Short Paper/Poster Submission: June 10, 2025 📌 Notification to Authors: July 29, 2025 📌 Camera-Ready Submission: August 15, 2025 General Chairs: 👨🏫 Peter Richtarik (KAUST, Saudi Arabia) 👨🏫 Sebastián Ventura (University of Cordoba, Spain) Join us in exploring the next frontier of secure, decentralized AI and be part of the global conversation transforming the way machine learning models are trained and deployed.