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Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach.
Han Guo
Philip Greengard
Hongyi Wang
Andrew Gelman
Yoon Kim
Eric P. Xing
Published in:
ICLR (2023)
Keyphrases
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bayesian inference
gaussian process
incremental learning
prior knowledge
approximate inference
learning algorithm
hidden markov models
co occurrence
unsupervised learning
topic models
random variables