"privacy-preserving training" Papers

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FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation

Cui Miao, Tao Chang, meihan wu et al.

ICCV 2025arXiv:2508.02190
5
citations

Flick: Empowering Federated Learning with Commonsense Knowledge

Ran Zhu, Mingkun Yang, Shiqiang Wang et al.

NEURIPS 2025

PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models

Kyeongkook Seo, Dong-Jun Han, Jaejun Yoo

ICLR 2025arXiv:2503.08085
3
citations

Private Training Large-scale Models with Efficient DP-SGD

Liangyu Wang, Junxiao Wang, Jie Ren et al.

NEURIPS 2025

Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking

Qiangqiang Wu, Yi Yu, Chenqi Kong et al.

ICCV 2025arXiv:2507.07483
5
citations

Towards hyperparameter-free optimization with differential privacy

Ruixuan Liu, Zhiqi Bu

ICLR 2025arXiv:2503.00703
7
citations

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants

Shanli Tan, Hao Cheng, Xiaohu Wu et al.

AAAI 2024paperarXiv:2312.11391
6
citations

Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD

Jonggyu Jang, Seongjin Hwang, Hyun Jong Yang

ICML 2024