Ternary Compression for Communication-Efficient Federated Learning

Overview of attention for article published in IEEE Transactions on Neural Networks and Learning Systems, February 2022

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In the top 25% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (89th percentile)
High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news: 1 news outlet
twitter: 7 X users

patent: 3 patents

Readers on

mendeley: 122 Mendeley

So far, Altmetric has seen 8 X posts from 7 X users, with an upper bound of 50,547 followers.

RT @StatMLPapers: Ternary Compression for Communication-Efficient Federated Learning. (arXiv:2003.03564v2 [cs.LG] UPDATED) https://t.co/6hE…

Ternary Compression for Communication-Efficient Federated Learning. (arXiv:2003.03564v2 [cs.LG] UPDATED) https://t.co/6hEG5OBcxj

https://t.co/mxwyiSb3GR

"Ternary Compression for Communication-Efficient Federated Learning", Jinjin Xu, Wenli Du, Ran Cheng, Wangli He, Ya… https://t.co/j1ge5q6nT4

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