An autoencoder-based gradient compression scheme for federated learning that decodes the aggregated update directly, with claims of privacy and reduced communication that are only weakly supported.
Scalable distributed DNN training using c ommodity GPU cloud com- puting,
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An End-to-End Encrypted Neural Network for Gradient Updates Transmission in Federated Learning
An autoencoder-based gradient compression scheme for federated learning that decodes the aggregated update directly, with claims of privacy and reduced communication that are only weakly supported.