Title | : | Federated Reconstruction for Matrix Factorization (Building recommendation systems with TensorFlow) |
Lasting | : | 8.21 |
Date of publication | : | |
Views | : | 11 rb |
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Subscribe to keep up with the latest in TensorFlow! Comment from : @TensorFlow |
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👏👏 Comment from : @_XY_ |
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Ttt Comment from : @frantzdatilus8157 |
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The gboard keyboard example of federated learning / differential privacy dates back to google talks in 2017 There has been very little material from the tensorflow side with concrete examples on actually building federated ml models in production The topic isn’t new I hope the few people involved in creating this content will stick around this time so we can see mor production related aspects Thank you! Comment from : @dinoscheidt |
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Federated ML is a great topic area I'm not convinced that the current state of the art will succeed in protecting privacy, if only because there's no consensus on what "privacy" means We can't make progress without progressing, however, so I'm vary glad that this area is getting serious development attention Thanks for posting Comment from : @WilliamDye-willdye |
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