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HyperPrism: AnAdaptiveNon-linearAggregation FrameworkforDistributedMachineLearningover non-IIDDataandTime-varyingCommunicationLinks
Neural Information Processing Systems
While existing DML attempts have made significant progress, two technical barriers remain in realistic scenarios.
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SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
Neural Information Processing Systems
Subseasonal forecasting of the weather two to six weeks in advance is critical for resource allocation and advance disaster notice but poses many challenges for the forecasting community.
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