APA (7th ed.) Citation

Nielsen, C., Tuladhar, A., Forkert, N. D., Goos, G., Hartmanis, J., Bertino, E., . . . Zheng, Y. (2022). Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks. Ophthalmic Medical Image Analysis : 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings, 13576, 183-192. https://doi.org/10.1007/978-3-031-16525-2_19

Chicago Style (17th ed.) Citation

Nielsen, Christopher, et al. "Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks." Ophthalmic Medical Image Analysis : 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings 13576 (2022): 183-192. https://doi.org/10.1007/978-3-031-16525-2_19.

MLA (9th ed.) Citation

Nielsen, Christopher, et al. "Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks." Ophthalmic Medical Image Analysis : 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, Proceedings, vol. 13576, 2022, pp. 183-192, https://doi.org/10.1007/978-3-031-16525-2_19.