Welcome to the 3rd Federated Machine Learning 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
Santiago de Compostela, Spain
Acceptance Notification
First round: May 6, 2025
Ext. round: June 6, 2025
Summer School Date
07–18 July 2025
FLTA Conference 2025
14-17 October 2025
Dubrovnik, Croatia
About MegaData FL Summer School
The 3rd edition of MegaData 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 Santiago de Compostela, Spain, 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
Pedro Guijas Bravo
P2PFL, Spain
Zhijin Li
Nvidia Flare, USAMeet 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
