A new distributed optimization method enforces diverse and discriminative representations via variance constraints for i.i.d. data and node clustering for non-i.i.d. data, with theoretical guarantees and semantic sharing.
Deep representation learning: Funda- mentals, technologies, applications, and open challenges,
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Semantic-based Distributed Learning for Diverse and Discriminative Representations
A new distributed optimization method enforces diverse and discriminative representations via variance constraints for i.i.d. data and node clustering for non-i.i.d. data, with theoretical guarantees and semantic sharing.