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Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach.

Han GuoPhilip GreengardHongyi WangAndrew GelmanYoon KimEric P. Xing
Published in: CoRR (2023)
Keyphrases
  • learning algorithm
  • approximate inference
  • prior knowledge
  • hidden markov models
  • probabilistic model
  • least squares
  • graphical models
  • bayesian inference