Domain Discrepancy Aware Distillation for Model Aggregation in Federated Learning.

Shangchao Su Bin Li Xiangyang Xue

Published in: CoRR (2022)

Keyphrases

prior knowledge
learning algorithm
learning tasks
learning process
probabilistic model
supervised learning
learning problems
computational model

domain models
data sets
learning phase
learning mechanism
decision theoretic
learning scheme
statistical model
theoretical framework

learning systems
active learning
decision trees
genetic algorithm
parameter estimation
mathematical model
generative model
experimental data

domain independent
em algorithm
expectation maximization
formal model
learning models
hidden variables
cost function
high level