CORDIS Project
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The project CollectiveMinds aims to develop adaptable machine learning models that can efficiently update and learn from each other, reducing resource consumption and environmental impact. By promoting decentralized learning, it seeks to enhance collaborative intelligence across various domains, such as healthcare and…
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,…
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