Fair and efficient contribution valuation for vertical federated learning
Publication
, Journal Article
Fan, Z; Fang, H; Zhou, Z; Pei, J; Friedlander, MP; Zhang, Y
Published in: arXiv preprint arXiv:2201.02658
2022
Duke Scholars
Published In
arXiv preprint arXiv:2201.02658
Publication Date
2022
Citation
APA
Chicago
ICMJE
MLA
NLM
Fan, Z., Fang, H., Zhou, Z., Pei, J., Friedlander, M. P., & Zhang, Y. (2022). Fair and efficient contribution valuation for vertical federated learning. ArXiv Preprint ArXiv:2201.02658.
Fan, Zhenan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, and Yong Zhang. “Fair and efficient contribution valuation for vertical federated learning.” ArXiv Preprint ArXiv:2201.02658, 2022.
Fan Z, Fang H, Zhou Z, Pei J, Friedlander MP, Zhang Y. Fair and efficient contribution valuation for vertical federated learning. arXiv preprint arXiv:220102658. 2022;
Fan, Zhenan, et al. “Fair and efficient contribution valuation for vertical federated learning.” ArXiv Preprint ArXiv:2201.02658, 2022.
Fan Z, Fang H, Zhou Z, Pei J, Friedlander MP, Zhang Y. Fair and efficient contribution valuation for vertical federated learning. arXiv preprint arXiv:220102658. 2022;
Published In
arXiv preprint arXiv:2201.02658
Publication Date
2022