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Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy for Deep Learning?

, и . SaTML, стр. 68-106. IEEE, (2023)

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Reviving and Improving Recurrent Back-Propagation., , , , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 3088-3097. PMLR, (2018)Neural Relational Inference for Interacting Systems., , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 2693-2702. PMLR, (2018)On the Universality of Invariant Networks., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4363-4371. PMLR, (2019)Personalized Federated Learning using Hypernetworks., , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 9489-9502. PMLR, (2021)DisCLIP: Open-Vocabulary Referring Expression Generation., , , , и . BMVC, стр. 670-673. BMVA Press, (2023)StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation., , и . BMVC, стр. 109.1-109.12. BMVA Press, (2015)Understanding the Limitations of Conditional Generative Models., , , и . ICLR, OpenReview.net, (2020)Communication Efficient Distributed Learning over Wireless Channels., , , и . CoRR, (2022)Human Pose Estimation Using Deep Consensus Voting., , и . ECCV (2), том 9906 из Lecture Notes in Computer Science, стр. 246-260. Springer, (2016)On Learning Sets of Symmetric Elements (Extended Abstract)., , , и . IJCAI, стр. 4794-4798. ijcai.org, (2021)