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Federated Learning of Gboard Language Models with Differential Privacy.

, , , , , , , and . ACL (industry), page 629-639. Association for Computational Linguistics, (2023)

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The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 3056-3089. PMLR, (2022)Private Federated Learning with Autotuned Compression., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 34668-34708. PMLR, (2023)Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon., , , , , , , , , and 2 other author(s). CoRR, (2024)A Multi-label, Dual-Output Deep Neural Network for Automated Bug Triaging., , , , and . ICMLA, page 937-944. IEEE, (2019)User Inference Attacks on Large Language Models., , , , , and . CoRR, (2023)Proof-of-Learning: Definitions and Practice., , , , , , and . SP, page 1039-1056. IEEE, (2021)Machine Unlearning., , , , , , , and . SP, page 141-159. IEEE, (2021)CaPC Learning: Confidential and Private Collaborative Learning., , , , , , and . ICLR, OpenReview.net, (2021)Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy., , , , , , , and . INLG, page 28-53. Association for Computational Linguistics, (2023)Privacy Side Channels in Machine Learning Systems., , , , , , , and . USENIX Security Symposium, USENIX Association, (2024)