Decentralised learning with distributed gradient descent and random features

Decentralised learning with distributed gradient descent and random features

We investigate the generalisation performance of Distributed Gradient Descent with implicit regularisation and random features in the homogenous setting where a network of agents are given data sampled independently from the same unknown distribution. Along with reducing the memory footprint, random...

書誌詳細
主要な著者:	Richards, D, Rebeschini, P, Rosasco, L
フォーマット:	Conference item
言語:	English
出版事項:	Proceedings of Machine Learning Research 2020

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