This investigation was supported by the Pulitzer Center’s Artificial Intelligence Accountability Network  Investigative ...

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Off the southern coast of Fiji’s main island, a group of bull sharks returns to the same reef, week after week, year after year. For a quarter century, divers at the Shark Reef Marine Reserve have ...

Abstract: Federated learning is useful when predicting user preferences due to its ability to keep user data private. As such, certain data samples may be more useful than others. For instance, with a ...

Abstract: Federated learning (FL), as a distributed machine learning paradigm, enables multiple users to train machine learning models locally using individual data and then update global model in a ...

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