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Partitioned Variational Inference: A Framework for Probabilistic Federated Learning.
Matthew Ashman
Thang D. Bui
Cuong V. Nguyen
Efstratios Markou
Adrian Weller
Siddharth Swaroop
Richard E. Turner
Published in:
CoRR (2022)
Keyphrases
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probabilistic model
learning algorithm
reinforcement learning
supervised learning
prior knowledge
unsupervised learning
variational inference
machine learning
bayesian networks
semi supervised
em algorithm
generative model
mixture model
conditional random fields
closed form