Absolute Flash #17 races into stores next week! Can our heroes save both Colorado AND Grodd himself? Preview the ape ...
Abstract: As the scale of distributed training increases, it brings huge communication overhead in clusters. Some works try to reduce the communication cost through gradient compression or ...
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 ...
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