171 citations · 173 across the 2 of their papers we have counts for
4 papers · 1 filter
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…
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…
NASIB: Neural Architecture Search withIn Budget
Abhishek Singh, Anubhav Garg, Jinan Zhou +2
Neural Architecture Search (NAS) represents a class of methods to generate the optimal neural network architecture and typically iterate over candidate architectures till convergen…
MLPerf Training Benchmark
Peter Mattson, Christine Cheng, Cody Coleman +34
Machine learning (ML) needs industry-standard performance benchmarks to support design and competitive evaluation of the many emerging software and hardware solutions for ML. But M…