2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2020
Direct Federated Neural Architecture Search
Anubhav Garg, Amit Kumar Saha, Debo Dutta
Neural Architecture Search (NAS) is a collection of methods to craft the way neural networks are built. We apply this idea to Federated Learning (FL), wherein predefined neural net…
cs.LG2020
Revisiting Neural Architecture Search
Anubhav Garg, Amit Kumar Saha, Debo Dutta
Neural Architecture Search (NAS) is a collection of methods to craft the way neural networks are built. Current NAS methods are far from ab initio and automatic, as they use manual…
cs.DC2020★ 2 cited
A Scalable and Cloud-Native Hyperparameter Tuning System
Johnu George, Ce Gao, Richard Liu +4
In this paper, we introduce Katib: a scalable, cloud-native, and production-ready hyperparameter tuning system that is agnostic of the underlying machine learning framework. Though…