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"

28 / 28 papers shown

Title
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models Shansan Gong Mukai Li Jiangtao Feng Zhiyong Wu Lingpeng Kong 96 333 0 17 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 115 156 0 10 Oct 2022
Vertical Semi-Federated Learning for Efficient Online Advertising Wenjie Li Qiaolin Xia Hao Cheng Kouying Xue Shutao Xia FedML 125 16 0 30 Sep 2022
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning Yuanqin He Yan Kang Xinyuan Zhao Jiahuan Luo Lixin Fan Yuxing Han Qiang Yang FedML 82 25 0 18 Aug 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning Daoyuan Chen Dawei Gao Weirui Kuang Yaliang Li Bolin Ding FedML 91 64 0 08 Jun 2022
Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li John Thickstun Ishaan Gulrajani Percy Liang Tatsunori B. Hashimoto AI4CE 242 833 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 73 9 0 15 May 2022
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Chong-Jun Wang FedML 107 38 0 02 Mar 2022
Defending against Reconstruction Attack in Vertical Federated Learning Jiankai Sun Yuanshun Yao Weihao Gao Junyuan Xie Chong-Jun Wang AAML FedML 68 28 0 21 Jul 2021
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation Siyuan Guo Lixin Zou Yiding Liu Wenwen Ye Suqi Cheng Shuaiqiang Wang Hechang Chen Dawei Yin Yi-Ju Chang 43 93 0 28 May 2021
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale Fan Lai Yinwei Dai Sanjay Sri Vallabh Singapuram Jiachen Liu Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML 109 204 0 24 May 2021
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 189 140 0 17 Feb 2021
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models Zirui Wang Yulia Tsvetkov Orhan Firat Yuan Cao 74 202 0 12 Oct 2020
FedCVT: Semi-supervised Vertical Federated Learning with Cross-view Training Yan Kang Yang Liu Xinle Liang FedML 113 53 0 25 Aug 2020
Flower: A Friendly Federated Learning Research Framework Daniel J. Beutel Taner Topal Akhil Mathur Xinchi Qiu Javier Fernandez-Marques ... Lorenzo Sani Kwing Hei Li Titouan Parcollet Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 140 820 0 28 Jul 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 253 577 0 27 Jul 2020
Additively Homomorphical Encryption based Deep Neural Network for Asymmetrically Collaborative Machine Learning Yifei Zhang Hao Zhu FedML 48 42 0 14 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 759 18,408 0 19 Jun 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 191 1,230 0 19 Jan 2020
Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions Feiyang Pan Xiang Ao Pingzhong Tang Min Lu Dapeng Liu Lei Xiao Qing He 68 22 0 26 May 2019
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 158 1,424 0 03 Dec 2018
Split learning for health: Distributed deep learning without sharing raw patient data Praneeth Vepakomma O. Gupta Tristan Swedish Ramesh Raskar FedML 121 710 0 03 Dec 2018
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate Xiao Ma Liqin Zhao Guan Huang Zhi Wang Zelin Hu Xiaoqiang Zhu Kun Gai 76 420 0 21 Apr 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 316 9,815 0 25 Oct 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 220 6,172 0 01 Jul 2016
Wide & Deep Learning for Recommender Systems Heng-Tze Cheng L. Koc Jeremiah Harmsen T. Shaked Tushar Chandra ... Zakaria Haque Lichan Hong Vihan Jain Xiaobing Liu Hemal Shah HAI VLM 198 3,673 0 24 Jun 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 412 17,615 0 17 Feb 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 312 7,035 0 12 Mar 2015