Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning.
Semih YagliAlex DytsoH. Vincent PoorPublished in: CoRR (2020)
Keyphrases
- information theoretic
- generalization error
- information bottleneck
- active learning
- mutual information
- learning machines
- learning algorithm
- learning process
- information theory
- theoretic framework
- cross validation
- generalization error bounds
- upper bound
- reinforcement learning
- learning problems
- training error
- training data
- algorithmic stability
- sample complexity
- learning tasks
- multi class
- image analysis