DataLens: Scalable Privacy Preserving Training via Gradient Compression
and Aggregation

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation

20 March 2021

Papers citing "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation"

13 / 13 papers shown

Title
VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis Chia-Yi Hsu Jia-You Chen Yu-Lin Tsai Chih-Hsun Lin Pin-Yu Chen Chia-Mu Yu Chun-ying Huang 50 0 0 20 Mar 2025
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 31 0 0 03 Oct 2024
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation Shiming Ge Bochao Liu Pengju Wang Yong Li Dan Zeng FedML 37 9 0 04 Sep 2024
Membership Inference Attacks against Synthetic Data through Overfitting Detection B. V. Breugel Hao Sun Zhaozhi Qian M. Schaar 21 45 0 24 Feb 2023
Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning Van Tuan Tran Huy Hieu Pham Kok-Seng Wong FedML 25 7 0 22 Feb 2023
Private GANs, Revisited Alex Bie Gautam Kamath Guojun Zhang 8 14 0 06 Feb 2023
Private Set Generation with Discriminative Information Dingfan Chen Raouf Kerkouche Mario Fritz DD 22 34 0 07 Nov 2022
In Differential Privacy, There is Truth: On Vote Leakage in Ensemble Private Learning Jiaqi Wang R. Schuster Ilia Shumailov David Lie Nicolas Papernot FedML 17 3 0 22 Sep 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM Chulin Xie Pin-Yu Chen Qinbin Li Arash Nourian Ce Zhang Bo Li FedML 25 16 0 20 Jul 2022
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence Tianshi Cao Alex Bie Arash Vahdat Sanja Fidler Karsten Kreis SyDa DiffM 11 71 0 01 Nov 2021
SEDML: Securely and Efficiently Harnessing Distributed Knowledge in Machine Learning Yansong Gao Qun Li Yifeng Zheng Guohong Wang Jiannan Wei Mang Su 6 3 0 26 Oct 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 24 100 0 10 Aug 2021
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training Chia-Yu Chen Jiamin Ni Songtao Lu Xiaodong Cui Pin-Yu Chen ... Naigang Wang Swagath Venkataramani Vijayalakshmi Srinivasan Wei Zhang K. Gopalakrishnan 27 66 0 21 Apr 2021