Hi Everyone, Thanks for all your support. Our project FATE has reached the milestone of 1000 GitHub stars. Besides, a lot of contributors from Tencent and other well-known enterprises, some from HKU a

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-

Hi All, The latest news of FedAI has been released. Please find out what we happened in September. 1. WeBank joins Linux Foundation, federated learning helps the innovative banking On September 17th,

Hi.All A lot of members in FATE dev team and this community are Chinese. Happy National Day of China and enjoy your holidays. Last month, the Linux Foundation officially announced FATE as a foundation

Hi All, Our contributor bounty program has been online : ) We are welcome you to check out our GitHub (https://github.com/FederatedAI/FATE) and submit pr or issue to join us as a contributor. Our FATE

Suggest using this FedAI Helper on Wechat 发件人: Fate-FedAI@groups.io <Fate-FedAI@groups.io> 代表 fave_toy@... 发送时间: 2019年9月10日 17:25 收件人: Fate-FedAI@groups.io 主题: (Internet Mail)Re: [Fate-FedAI] Some que

Hello here, It is Martin from Shanghai. We have some scenario need to do the demo and doing the evaluation to see if the opensource FATE is suitable for our AI cases. If yes, we would like to I have s

Hi, I ran the ftl example with the plain model, and found the loss did not decrease after each iteration, and the final prediction did not make sense at all(With all predicted probabilities near 0.9).

Hi there, First off, thanks for the great work! I have a question regarding the examples, I wonder if FATE's runtime supports multiple hosts and how to extend the current examples to support that. Bes

WeBank Held the 1st International Workshop on Federated Machine Learning in conjunction with IJCAI 2019 Once a concept, AI is now ushering in a key stage of application. What’s the solution to the dat

FATE v1.0 come soon. This version includes two new products of FATE. Let's take a look at its new features:

Hello everyone, Here is a Facebook group for research discussions regarding Federated Learning (but NOT about FATE implementation). Feel free to join at: https://www.facebook.com/groups/Federated.Lear

FATE 0.3 version has been released June 18 , the major features and improvements are as follows: > FederatedML * Support OneVsALL for multi-label classification task * Add trash-recycle in Hetero Logi

June 18， we will release the FATE v0.3 version. Later， we will introduce the Major Features of FATE v0.3