Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms.
Maruan Al-ShedivatJennifer GillenwaterEric P. XingAfshin RostamizadehPublished in: ICLR (2021)
Keyphrases
- learning algorithm
- orders of magnitude
- learning models
- online learning
- learning process
- significant improvement
- supervised learning
- noise tolerant
- learning systems
- active learning
- learning problems
- knowledge acquisition
- machine learning algorithms
- markov chain monte carlo
- computationally demanding
- practical problems
- times faster
- theoretical analysis
- computationally efficient
- unsupervised learning
- worst case
- data structure
- computational cost
- prior knowledge
- reinforcement learning
- real world