Recently, Micro Focus Federal Bank study FATE open source community welcomed two new contributors - from Tencent Qin Shu Qi and Liu Yang, an expert in the field of cloud computing security, two of whom FATE construct a new function points, and on Github submit fixes related vulnerabilities. (Github Project Address: https://github.com/FederatedAI/FATE
) Available from FATE and contributor to the introduction of incentive systems, data security industry practitioners to participate in the construction of the open source community continues to leap now, FATE attention in the industry, the value of recognition gradually, federal ecological study is to further deepen and expand.
AI era of serious data security issues, federal learning is a necessary path to solve
Development and popularization of artificial intelligence constantly changing people's way of life, but the AI is achieved without the support of massive data sources. After the arrogant data as a national strategy, the industry has been rapid development and application, but in the richness of the data, data quality, data sharing, big data and big data platform security industrial ecology and other fields, the industry there are still many urgent solved problem.
As a premise to build a model based on distributed computing machine learning technology of multi-security federal learning to get the parties involved can not disclose the underlying data and the underlying data encryption (confused) forms to help different institutions in industrial applications break the barriers, a collaboration AI, while the data is not out of the local parties, allowing users to privacy is protected. Such a win-win machine learning, which allows federal study has become a must-AI era of big data technology security and privacy protection.
FATE (Federated AI Technology Enabler) is the world's first industrial-grade open-source framework federal study, launched by the Bank of AI Micro Focus team, release mechanism of excitation from GitHub open source contributor to the micro-public banks AI team expects to embrace all practitioners to open attitude, build a federal study ecology. (Official website address: https://www.fedai.org.cn/cn/ )
FATE Watch industry pain points, data security, multilateral cooperation to build bridges
Budding contributors, Qin Shu Qi from Tencent Aegis sandbox, in the interview she mentioned that at present the industry is faced with many pain points, such as to reap benefits, part of the phone APP "ultra vires" to obtain user information, derived from large-scale black gray industrial chain. There's even smudge Property Organization decompile popular app, camouflaged to re-launch the application to obtain market data and the interests of the modified source code.
In addition, the data does right is a difficulty. Illegally collected data will eventually become a commodity on the black market production. The data flow in here, even legally authorized to use the data to a third party, the third party can not guarantee that abuse will not copy private data.
While its research team built Aegis sandbox, after binding FATE computing framework, we can solve the problem of data privacy in circulation, while providing privacy and security solutions for large data products and combined with AI products. APP makes manufacturers to reduce the demand for user data but also to get larger and better quality of data sets marked.
Qin Shu Qi said the federal study new solutions to new problems under the big data of a new era in the field of data security, multilateral cooperation, federal learning FATE combined application Aegis sandbox, through technical means to make data flow of legal compliance, thus breaking "islands of information" status quo.
Force open source ecosystem, promote data security practitioners to build FATE
It is reported that Tencent Aegis sandbox current core computing module provided by FATE, lack of Aegis sandbox project team encountered during use FATE framework, the algorithm will seek ways to improve, and its contribution to open source projects FATE this form of cooperation while promoting the improvement of product Aegis sandbox grinding and FATE project.
As more people join the federal ecological, grinding each other to promote the progress of the product, this positive cycle will enable more people to benefit. A vibrant open source ecosystem is inseparable from the contribution, as well as to promote among the members of each other.
Currently, FATE open source community incentive system has been fully on line, participate in the construction of contributors will receive an official certificate and corresponding incentives. As a federal study the world's first industrial-grade open source community, FATE in Github on-line only a few months, Star number will break 700, from well-known universities Hong Kong University of Science and Technology Studies Zijing Qing He, the well-known technology companies Tencent Liu Yang, Qin Shu Qi have to participate contribution, all show FATE powerful solution for data security capabilities. Recently further cooperation with Tencent cloud shield sandbox FATE carried out, but also demonstrates the FATE reliability and adaptation capabilities, FATE is moving toward a more open industry sectors.
Federal study to promote open collaboration in the field of artificial intelligence, artificial intelligence data to enhance liquidity and promote multi organizations highly synergistic cooperation and promote the healthy development of artificial intelligence, industrial safety and enabling various applications. In this context, whether it is open source FATE, or Tencent cloud participate contribution, we can get a glimpse of the booming federal study ecology. The future will have the benefit of more industries, China data security will be to a new level.