please help to answer a question: I use 'MD5' to desensitize the 'id' field of the data, the generated data is 32 bits, and then after the 'DataTransform' component processing, I found that the id and

For Windows 10 users who want to try a linux docker image, there is a work-around scheme. 1. Make sure you have wsl2 installed and activated ( yeah, even if wsl2 was installed, it is not a default

hi Mojgan, FATE currently only supports Linux because some AI/ML libraries depend on Linux to work. Henry On 2022/7/18 7:36 PM, mojgan.hashemian@... wrote:

Hi Henry, Thanks for your prompt response. I missed that, sorry. Do you have any similar guide for Windows users? Does FATE work at all on Windows OS? Many thanks.

hi Mojgan, Thanks for your question. It the document, it states that the supported OS is CentOS Linux It does not run on Windows. Henry On

Hello. I am following this guide. After running "bash init.sh init" at step 3.3 I get this error: "Not support this kernel." I have downloaded version 1.8.0 and running on Windows 10. You help is much

Hi Tianjian, I checked with the OpenMinded team but unfortunately SwiftSyft hasn’t had support in over a year and there are no plans to return to the project. Thanks for the suggestion

GitHub - OpenMined/SwiftSyft: The official Syft worker for iOS, built in Swift Check that out for your reference：）

Hi everyone, I'm Agnik, an AI intern at the Wall Lab in Stanford University's School of Medicine. Our team is attempting to implement federated learning on iOS. Currently, we have one professional iOS

The problem is that the configuration protocols have been updated. The model used early configuration version, and it is kind of hard for me to modify them.

The problem is that the configuration protocols have been updated. The model used early configuration version, and it is kind of hard for me to modify them. Haining Zhang <hi@...>

The FATE 1.2.0 is a very early version and it is no longer supported. Could you upgrade to the latest version (v1.8) to have a try? Henry On 2022/5/17 1:09 AM,

I'm using Fate1.2.0 and deployed a model https://github.com/chengziqiang/FL_DrugDiscovery. When training the given model there is an error. Logs are shown below: ValueError: Unauthorized variable:

Hi, We are super excited to announce the new major release of FATE and KubeFATE - v1.8.0. After months of hard work, we have added numerous new features and improvements in this release, including

Your job is stalled on the FateFlow server in the intersection stage. For this stage it is critical that your id fields in the data on each federate are logically correct, but it looks like you are

The lr job is canceled, but the statistic job also is. The log is below. This is cluster job log. This is host job log. No any errors...

This doesn't look normal， please the error logs

Task executor: Host, guest, and ARBITER. host and guest are on two machines respectively. This is the command of job submission. flow job submit -c test_hetero_lr_job_conf.json -d

Everyone pays attention to the use of the FATE framework to achieve federated deep learning, but few people talk about the usage of federated statistics. Can a small partner share it?

I ran into this error and got no idea, who can help me out? I am using Kubefate 1.7.0 and using fate_test 1.6.1 to do the homo_lr benchmarking test: fate_flow_schedule_error.log:1:[ERROR] [2022-03-10