Stich Lab

Research focus

ERC Consolidator Grant · 2024

Collaborative Machine Intelligence

Machine learning models are growing larger and more complex, making training increasingly resource-demanding. Concurrently, our world, and hence the training data is perpetually evolving. This requires continual model updating or retraining to address changing training data. Presently, the most reliable course to handle such distribution shifts is to retrain models from scratch on new training data. This results in substantial resource usage, increased CO2 footprint, elevated energy consumption, and limits the decisive ML progress to large-scale industry players. Imagine a world in which models help each other learn. When the data distribution changes, a complete retraining of models could…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.