As researchers in this group, we work on the complex social implications of AI, machine learning, data science, large-scale experimentation, and increasing automation.
Our aim is to facilitate computational techniques that are both innovative and ethical, while drawing on the deeper context surrounding these issues from sociology, history, and science and technology studies. We are working on collaborative research projects that address the need for transparency, accountability, and fairness in AI and machine learning systems.
We publish in a variety of disciplines, including machine learning, information retrieval, systems, sociology, political science, and science and technology studies. Download the presentation deck PDF. We are committed to working closely with the following AI research institutions in order to bring optimal AI technologies to society that are fair, transparent and accountable. The AI Now Institute at New York University is an interdisciplinary research center dedicated to understanding the social implications of artificial intelligence.
Solon Barocas Researcher.
Asia J. Biega Postdoctoral Researcher.
Kate Crawford Principal Researcher. Fernando Diaz Principal Research Manager. It can help developers quickly test FATE.
Standalone support two types of deployment: Docker version and Manual version. Please refer to Standalone deployment guide: standalone-deploy.
Migration from standalone to cluster requires configuration change only. No algorithm change is needed. To deploy FATE on a cluster, please refer to cluster deployment guide: cluster-deploy.
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We have provided a python script for quick starting modeling task. Once you finish one training task, you can start a predict task. We provided functions such as tracking component output models or logs etc.
The deployment and usage of fate-flow can be found here. How to develop your federated learning algorithm using FATE? FATE also provides many other documents in doc. These documents can help you understand FATE better. Ignore Learn more.
Watch 77 Star 1. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Sign up. Python Branch: master New pull request. Find file. Sign in Sign up.
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