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POSEIDON: Privacy-Preserving Federated Neural Network Learning., , , , , , and . CoRR, (2020)Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets., , , and . IEEE Trans. Inf. Forensics Secur., (2020)Scalable Privacy-Preserving Distributed Learning., , , , , , and . Proc. Priv. Enhancing Technol., 2021 (2): 323-347 (2021)Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets., , , and . CoRR, (2019)POSEIDON: Privacy-Preserving Federated Neural Network Learning., , , , , , and . NDSS, The Internet Society, (2021)Privacy-Preserving Federated Analytics using Multiparty Homomorphic Encryption.. EPFL, Switzerland, (2021)Scalable Privacy-Preserving Distributed Learning., , , , , , and . CoRR, (2020)sfkit: a web-based toolkit for secure and federated genomic analysis., , , , , and . Nucleic Acids Res., 51 (W1): 535-541 (July 2023)Scalable and Privacy-Preserving Federated Principal Component Analysis., , , , , , , , and . SP, page 1908-1925. IEEE, (2023)MedCo2: Privacy-Preserving Cohort Exploration and Analysis., , , , and . MIE, volume 270 of Studies in Health Technology and Informatics, page 317-321. IOS Press, (2020)