APA (7th ed.) Citation

Ryu, M., Kim, Y., Kim, K., & Madduri, R. K. (2022, May). APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning. 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 1074-1083. https://doi.org/10.1109/IPDPSW55747.2022.00175

Chicago Style (17th ed.) Citation

Ryu, Minseok, Youngdae Kim, Kibaek Kim, and Ravi K. Madduri. "APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning." 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) May. 2022: 1074-1083. https://doi.org/10.1109/IPDPSW55747.2022.00175.

MLA (9th ed.) Citation

Ryu, Minseok, et al. "APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning." 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May. 2022, pp. 1074-1083, https://doi.org/10.1109/IPDPSW55747.2022.00175.