Is this decentralized in the sense that all participating nodes play similar roles? Or do you still need a central host that hosts the single resulting model?
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Decentralized in the sense that all the techniques listed allow for data to remain under decentralized control while being used for training or prediction.
- Još 6 drugih odgovora
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Thank you Andrew, working more on federated learning is one of my goals for this year. This will go a long way..
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Admirable goal :)
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Thanks for sharing. One suggestion, Pysyft should change requirements to either Pytorch 1.4 or should specify something like >=1.3. I followed the notebooks, but installation of Pysyft took longer due to this.
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9 times out of 10, new versions of PyTorch break PySyft. Thus, to prevent all of our unit tests from failing all at once whenever a new version comes out (in addition to everyone using the software), we peg specific versions of PySyft.
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Thanks man
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Great resource!!! Already enjoying this! Can we have these tutorials in Keras as well??
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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I just started learning python. Thanks for this though.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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You are awesome.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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