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Towards Trustworthy, Efficient, and Scalable Machine Learning Systems for Graphs and Foundation Models
A deployed machine learning system must be affordable to train, must treat demographic groups equitably, and must be able to forget data on request. These demands are studied by separate literatures, evaluated by disjoint metrics, and addressed by methods that share almost no machinery. This d
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