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Adaptive Stochastic Gradient Descent for Fast and Communication-Efficient Distributed Learning.

Serge Kas HannaRawad BitarParimal ParagVenkat DasariSalim El Rouayheb
Published in: CoRR (2022)
Keyphrases
  • distributed learning
  • stochastic gradient descent
  • loss function
  • step size
  • recommender systems
  • least squares
  • model selection
  • monte carlo
  • matrix factorization