Towards privacy-preserving and verifiable federated matrix factorization

Author:

Wan XichengORCID,Zheng YifengORCID,Li Qun,Fu Anmin,Su Mang,Gao Yansong

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Nanjing University of Science and Technology

Science, Technology and Innovation Commission of Shenzhen Municipality

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference39 articles.

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4. B. McMahan, E. Moore, D. Ramage, S. Hampson, B.A. y Arcas, Communication-efficient learning of deep networks from decentralized data, in: Proc. of AISTATS, 2017.

5. Federated learning: Challenges, methods, and future directions;Li;IEEE Signal Process. Mag.,2020

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