Comprehensive residue-level mapping of amyloid-beta recognition reveals how sequence variants, post-translational ...
Abstract: In-network aggregation (INA) accelerates gradient aggregation in distributed machine learning (DML) by alleviating communication bottlenecks, but its effectiveness crucially depends on two ...
Abstract: In vehicular ad-hoc networks (VANETs), federated learning (FL) enables collaborative training a global intelligent transportation model without sharing vehicles’ raw data. Achieving model ...
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