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federated-learning

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yankang18
yankang18 commented Apr 14, 2020

Probably need more informative and clear documentation for describing the various federated algorithm.
For example, in README.md of https://github.com/FederatedAI/FATE/tree/master/federatedml/feature, The parties are distinguished by A and B in section Hetero Feature Binning. However, in other sections, the terms "guest" and "host" are used to describe parties. This is confusing.

So, it is

little-dude
little-dude commented Feb 23, 2020

We should start ignoring a participant if they never send their "start training" request, or never upload their results so avoid starving the coordinator. Note that this is a little tricky for "end training" requests because we have to make sure to synchronize the state between the aggregator and the coordinator. See: xainag/coordinator-rs#10

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