Teacher:In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Teacher: Now, understand the problem? Solve this instance: As an emerging field, federated learning has recently attracted considerable attention.
Compared to distributed learning in the datacenter setting, federated learning
has more strict constraints on computate efficiency of the learned model and communication
cost during the training process. In this work, we propose an efficient
federated learning framework based on variational dropout. Our approach is able
to jointly learn a sparse model while reducing the amount of gradients exchanged
during the iterative training process. We demonstrate the superior performance
of our approach on achieving significant model compression and communication
reduction ratios with no accuracy loss.
Student:
a joint model and gradient sparsification method for federated learning