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Query the server-client setting-up

Tianjian Chen
 

Hi Hank

FATE is easy to build and install （relatively) regardless whether you are doing a datacenter-datacenter vertical split federated learning or you are doing a client-server horizonta-splitl federated learning.

Please tell us your specific issue with build and deployment. 

//bests
Toby


On Mon, Oct 21, 2019 at 10:11 PM <hank9cao@...> wrote:
Hi all,
we are new here, would like to use FATE as the pooled analysis tool in our collaborative research (8 labs in Germany) in genetic psychiatry. We would like to know if the server-client setting-up of FATEis easy to build? We explored the TFF and PySyft packages which, unfortunataly, only supported the simulation of geo-distributed datasets, but we need to applied the pakcgae on the real machines, thus any support or tools for this are important to us.


Regards,
Hank

hank9cao@...
 

Hi all,
we are new here, would like to use FATE as the pooled analysis tool in our collaborative research (8 labs in Germany) in genetic psychiatry. We would like to know if the server-client setting-up of FATEis easy to build? We explored the TFF and PySyft packages which, unfortunataly, only supported the simulation of geo-distributed datasets, but we need to applied the pakcgae on the real machines, thus any support or tools for this are important to us.


Regards,
Hank
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