The Paradox of Noise: An Empirical Study of Noise-Infusion Mechanisms to Improve Generalization, Stability, and Privacy in Federated Learning.
Elaheh JafarigolTheodore B. TrafalisPublished in: CoRR (2023)
Keyphrases
- random noise
- learning process
- digital libraries
- noise level
- supervised learning
- noise model
- noise reduction
- missing data
- noisy data
- signal to noise ratio
- learning problems
- learning algorithm
- learning tasks
- learning systems
- knowledge acquisition
- online learning
- privacy preserving
- prior knowledge
- learning machines
- noisy environments
- noise free