Federated Advertising and Recommendation: A New Direction in Digital Marketing

This article announces the first episode of the "2020 Tencent Advertising Algorithm Competition Live Week," scheduled for August 4, 2020 at 19:30. The live broadcast will feature Professor Yang Qiang, Chief AI Officer of WeBank, and Huang Anbu, Senior AI Algorithm Expert at WeBank, discussing "Federated Advertising and Recommendation: A New Direction in Digital Marketing."

The article highlights the growing importance of privacy protection in the digital age and how federated learning (FL) offers a solution by allowing multiple data owners to collaborate on global model training without sharing raw data. This approach enables data value sharing while protecting privacy and commercial secrets.

Tencent Advertising is positioned as a leader in data security, having obtained ISO/IEC 27001 and ISO/IEC 29151 certifications. The company actively explores privacy protection technologies, including research on privacy-preserving set intersection algorithms through its Rhino Bird Special Fund collaboration with Nankai University.

The article explains that federated learning allows participants to share only encrypted model parameters or intermediate results, achieving "data available but invisible" to effectively protect data security while enabling data value sharing. A knowledge tip section provides a concise explanation of federated learning principles.

The article concludes with promotional content encouraging readers to scan QR codes or click "Read More" to register for the live broadcast, and announces the winners of a "Popularity Team Competition" from the algorithm contest, with prizes including instant cameras, electric toothbrushes, and customized merchandise.