Welcome to the 4th Federated Machine Learning International Summer School
Discover the future of AI with world-leading experts from academia and industry. Engage in interactive lectures, hands-on labs, and real-world applications of Federated Learning. Apply now and transform your AI journey!
Location
Paris, France
Acceptance Notification
March 6, 2026
Summer School Date
26, June - 10 July 2026
About the FL International Summer School
A first-of-its-kind program focused on Federated Learning.
The 4th edition of the FL international summer school is still the first-ever summer school dedicated to Federated Learning (FL), offering a unique opportunity to dive into one of the most transformative areas of modern artificial intelligence. As real-world applications increasingly demand privacy-preserving, decentralized machine learning, FL has emerged as a revolutionary approach that enables AI models to be trained collaboratively across distributed devices while ensuring that sensitive data remains local.
With the rapid rise of autonomous systems, smart cities, healthcare technologies, and industrial IoT, traditional centralized AI models face growing latency, bandwidth constraints, and data security challenges. FL addresses these challenges by shifting computation to the edge, allowing models to be trained efficiently and securely in diverse environments. However, deploying FL in real-world settings is highly complex due to heterogeneous data distributions, varying device capabilities, and resource constraints.
This summer school will provide participants with a strong foundation in FL, covering core concepts, system architectures, optimization techniques, and emerging industry applications. As the first event of its kind, the program is designed for MSc and PhD students, researchers, and professionals interested in edge intelligence, distributed systems, and privacy-preserving AI.
Through theoretical lectures, hands-on coding sessions, and project work, participants will gain practical skills for designing and deploying FL models in real-world applications. Hosted on-site in Paris, France, the summer school features morning lectures exploring FL principles and the latest advancements, followed by afternoon hands-on sessions and collaborative projects, allowing attendees to apply their knowledge in practice.
As FL continues to reshape the future of AI and distributed computing, this pioneering summer school will equip participants with cutting-edge expertise in a rapidly growing field with increasing demand in both academia and industry.
Guest Lecturers
Our guest speakers are renowned experts and thought leaders in Federated Learning who will inspire and captivate the audience with their visionary insights.
Daniel Beutel
FlowerLabs, UK
Salman Toor
Scaleout AB, Sweden
Pan Heng
FlowerLabs, UK
Javier Fernandez-Marques
FlowerLabs, UK
Pedro Guijas Bravo
P2PFL, Spain
Zhijin Li
Nvidia Flare, USA
Ahmed M. A. Sayed
Queen Mary University of London, UK
Mehreen Tahir
Dublin City University, Ireland
Irina Bejan
OpenMined, UK
Khoa Nguyen
Software Engineer at OpenMined, UK
Djura Smits
Netherlands eScience Center, Netherlands
Leon Nascimento
University of Tartu, EstoniaMeet Our Sponsors
Behind every groundbreaking innovation are visionary minds and dedicated supporters driving progress. Our sponsors are not just funding this Federated Learning Summer School but fueling the next wave of AI evolution. From cutting-edge research to real-world impact, these industry leaders are redefining privacy-preserving AI, distributed intelligence, and the future of Federated Learning. Discover their game-changing contributions and join us in celebrating the innovators shaping tomorrow!
Become a Sponsor
Meet Our Partners
Behind every breakthrough in Federated Learning are visionary organizations committed to advancing the field. Our partners play a vital role in enabling this Summer School, not just by supporting the event, but by actively driving the future of privacy-preserving AI and distributed machine learning. Their contributions bridge the gap between research and real-world application, helping us foster collaboration, innovation, and impactful learning experiences. Join us in recognizing these forward-thinking institutions and companies that are shaping the next generation of Federated Learning and empowering the global AI community.
