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PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors

We revisit the problem of secure aggregation of high-dimensional vectors in a two-server system such as Prio. These systems are typically used to aggregate vectors such as gradients in private federated learning, where the aggregate itself is protected via noise…

Generative and Contrastive Graph Representation Learning

Self-supervised learning (SSL) on graphs generates node and graph representations (i.e., embeddings) that can be used for downstream tasks such as node classification, node clustering, and link prediction. Graph SSL is particularly useful in scenarios with limited or no labeled…

Larry Ellison’s quest to run the world

For most of his career Larry Ellison has been content to quietly let Oracle be the company, behind the company, behind the technology that makes headlines. Its biggest products being cloud computing and database products that it sells to enterprise…