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...
| 主要な著者: | , , |
|---|---|
| フォーマット: | Conference item |
| 言語: | English |
| 出版事項: |
Proceedings of Machine Learning Research
2020
|