Energy-efficient algorithms and Machine learning ‒ ESL ‐ EPFL

We develop novel algorithms for resource-constrained intelligent devices. This involves optimizations at different levels, including:

data acquisition, by using techniques such as compressed sensing or event-based sampling;
algorithm execution, by exploiting modern edge/fog/cloud architectures to distribute machine-learning methods in a robust and efficient way; and
data transmission, by processing the data as close as possible to where it is produced and reducing communications to high-level features and results.