EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to ...

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

Abstract: In recent years, the growing demand for secure, efficient, and scalable machine learning has highlighted significant challenges in traditional Federated Learning (FL) systems. These ...

Abstract: This paper addresses the problem of distributed online generalized Nash equilibrium (GNE) learning for multi-cluster games with delayed function feedback. Specifically, each agent in the ...