On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks.
Minsu KimWalid SaadMohammad MozaffariMérouane DebbahPublished in: CoRR (2021)
Keyphrases
- neural network
- precision and recall
- high precision
- high accuracy
- prediction accuracy
- back propagation
- precision recall
- energy minimization
- feed forward
- low energy
- error rate
- fuzzy logic
- classification accuracy
- trade off
- computational complexity
- pattern recognition
- numerical stability
- data sets
- recall precision
- recurrent neural networks
- multilayer perceptron
- computational efficiency
- energy consumption
- multiresolution