Advances and Open Problems in Federated Learning

Autor: Kairouz, Peter, McMahan, H. Brendan, Avent, Brendan, Bellet, Aurélien, Bennis, Mehdi, Bhagoji, Arjun Nitin, Bonawitz, Kallista, Charles, Zachary, Cormode, Graham, Cummings, Rachel, D'Oliveira, Rafael G. L., Eichner, Hubert, Rouayheb, Salim El, Evans, David, Gardner, Josh, Garrett, Zachary, Gascón, Adrià, Ghazi, Badih, Gibbons, Phillip B., Gruteser, Marco, Harchaoui, Zaid, He, Chaoyang, He, Lie, Huo, Zhouyuan, Hutchinson, Ben, Hsu, Justin, Jaggi, Martin, Javidi, Tara, Joshi, Gauri, Khodak, Mikhail, Konečný, Jakub, Korolova, Aleksandra, Koushanfar, Farinaz, Koyejo, Sanmi, Lepoint, Tancrède, Liu, Yang, Mittal, Prateek, Mohri, Mehryar, Nock, Richard, Özgür, Ayfer, Pagh, Rasmus, Raykova, Mariana, Qi, Hang, Ramage, Daniel, Raskar, Ramesh, Song, Dawn, Song, Weikang, Stich, Sebastian U., Sun, Ziteng, Suresh, Ananda Theertha, Tramèr, Florian, Vepakomma, Praneeth, Wang, Jianyu, Xiong, Li, Xu, Zheng, Yang, Qiang, Yu, Felix X., Yu, Han, Zhao, Sen

Federated learning (FL) is a machine learning setting where many clients (e.g. mobile devices or whole organizations) collaboratively train a model under the orchestration of a central server (e.g. service provider), while keeping the training data d

Externí odkaz: http://arxiv.org/abs/1912.04977

Optimization of Bootstrapping in Circuits

Autor: Benhamouda, Fabrice, Lepoint, Tancrède, Mathieu, Claire, Zhou, Hang

In 2009, Gentry proposed the first Fully Homomorphic Encryption (FHE) scheme, an extremely powerful cryptographic primitive that enables to perform computations, i.e., to evaluate circuits, on encrypted data without decrypting them first. This has ma

Externí odkaz: http://arxiv.org/abs/1608.04535

Communication-Efficient Proactive MPC for Dynamic Groups with Dishonest Majorities

Autor: Eldefrawy, Karim, Lepoint, Tancrède, Leroux, Antonin

Publikováno v: ACNS 2022
ACNS 2022, Jun 2022, Rome, Italy

International audience; Secure multiparty computation (MPC) has recently been increasingly adopted to secure cryptographic keys in enterprises, cloud infrastructure, and cryptocurrency and blockchain-related settings such as wallets and exchanges. Us

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::af8b98494ea962f0d86130430ea46ddd
https://hal.inria.fr/hal-03471927

Processing Encrypted Data Using Homomorphic Encryption

Autor: Barnett, Anthony, Bonte, Charlotte, Bootland, Carl, Bos, Joppe W., Castryck, Wouter, Costache, Anamaria, Goubin, Louis, Iliashenko, Ilia, Lepoint, Tancrède, Minelli, Michele, Paillier, Pascal, Smart, Nigel P., Vercauteren, Frederik, Vivek, Srinivas, Waller, Adrian

Publikováno v: Workshop on Data Mining with Secure Computation
Workshop on Data Mining with Secure Computation, 2017, skopje, Macedonia. ⟨10.5281/zenodo.2594694⟩

Fully Homomorphic Encryption (FHE) was initially introduced as a concept shortly after the development of the RSA cryptosystem, by Rivest et al. [54]. Although long sought after, the first functional scheme was only proposed over thirty years later b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01144501e1e85653236ead98a7ec29c8

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.