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Job responsibilities of privacy computing technology
Carry out the design of privacy computing and federated learning system, research on key technologies and core algorithms, code implementation and verification. Responsible for the research, improvement and source contribution of the core code of the open source framework for privacy computing and federated learning; Participate in the research, formulation and application verification of privacy computing and federated learning technology solutions; Aiming at the security modeling scenario of privacy protection, a new privacy computing protocol scheme is proposed.
Research on the requirements, scenarios and technologies of the combination of privacy computing technology and mobile communication network, and conduct simulation verification. Complete the writing of patents, standardized manuscripts, papers and research reports at home and abroad, and be responsible for the writing of application materials for innovative topics of countries, organizations and research institutes.
The main technical direction of privacy computing:
Privacy computing technology based on cryptography represented by 1 and multi-party secure computing.
2. The technology derived from the integration of artificial intelligence represented by federal learning and privacy protection technology.
3. Privacy computing technology based on trusted hardware represented by trusted execution environment. When calculating and analyzing the data, different technologies are often combined to ensure the security and privacy of the original data.
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