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20182023
most citedEnsemble Distillation for Robust Model Fusion in Federated Learning

516 citations · 1.1k across the 20 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.LG2019★ 30 cited

Decentralized Deep Learning with Arbitrary Communication Compression

Anastasia Koloskova, Tao Lin, Sebastian U. Stich +1

Decentralized training of deep learning models is a key element for enabling data privacy and on-device learning over networks, as well as for efficient scaling to large compute cl…

cs.LG2019★ 97 cited

Exploring Interpretable LSTM Neural Networks over Multi-Variable Data

Tian Guo, Tao Lin, Nino Antulov-Fantulin

For recurrent neural networks trained on time series with target and exogenous variables, in addition to accurate prediction, it is also desired to provide interpretable insights i…