FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction

Author:

Ouyang Wentao1ORCID,Dong Rui1ORCID,Tao Ri1ORCID,Liu Xiangzheng1ORCID

Affiliation:

1. Alibaba Group, Beijing, China

Publisher

ACM

Reference31 articles.

1. Timothy Castiglia, Shiqiang Wang, and Stacy Patterson. 2022. Self-Supervised Vertical Federated Learning. In Workshop on Federated Learning: Recent Advances and New Challenges (in Conjunction with NeurIPS 2022).

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4. Practical Private Set Intersection Protocols with Linear Complexity

5. Jean-Bastien Grill, Florian Strub, Florent Altché , Corentin Tallec, Pierre Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, et al. 2020. Bootstrap your own latent-a new approach to self-supervised learning. In Advances in neural information processing systems (NeurIPS). 21271--21284.

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