Fast Server Learning Rate Tuning for Coded Federated Dropout.
Giacomo VerardoDaniel BarreiraMarco ChiesaDejan KosticPublished in: CoRR (2022)
Keyphrases
- learning rate
- convergence rate
- learning algorithm
- error function
- client server
- hidden layer
- adaptive learning rate
- digital libraries
- rapid convergence
- multilayer neural networks
- convergence speed
- activation function
- weight vector
- data sources
- training algorithm
- high accuracy
- search space
- neural network
- optimal solution
- natural gradient
- convergence theorem
- bp neural network algorithm