FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning

15 May 2023

Papers citing "FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning"

6 / 6 papers shown

Title
Vertical Semi-Federated Learning for Efficient Online Advertising Wenjie Li Qiaolin Xia Hao Cheng Kouying Xue Shutao Xia FedML 23 12 0 30 Sep 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 163 768 0 27 May 2022
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising Penghui Wei Weimin Zhang Ruijie Hou Jinquan Liu Shaoguo Liu Liang Wang Bo Zheng 27 9 0 15 May 2022
Label Leakage and Protection in Two-party Split Learning Oscar Li Jiankai Sun Xin Yang Weihao Gao Hongyi Zhang Junyuan Xie Virginia Smith Chong-Jun Wang FedML 119 135 0 17 Feb 2021
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training Yan Kang Yang Liu Xinle Liang FedML 60 50 0 25 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 156 553 0 27 Jul 2020