A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning

18 August 2022

Papers citing "A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning"

9 / 9 papers shown

Title
Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need Jon Irureta Jon Imaz Aizea Lojo Javier Fernandez-Marques Marco González Iñigo Perona FedML 85 1 0 20 Feb 2025
Vertical Federated Learning with Missing Features During Training and Inference Pedro Valdeira Shiqiang Wang Yuejie Chi FedML 30 1 0 29 Oct 2024
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation Hanlin Gu Jiahuan Luo Yan Kang Lixin Fan Qiang Yang FedML 25 13 0 30 Jan 2023
Vertical Semi-Federated Learning for Efficient Online Advertising Wenjie Li Qiaolin Xia Hao Cheng Kouying Xue Shutao Xia FedML 26 14 0 30 Sep 2022
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision Chaoyang He Zhengyu Yang Erum Mushtaq Sunwoo Lee Mahdi Soltanolkotabi A. Avestimehr FedML 90 36 0 06 Oct 2021
Federated Deep Learning with Bayesian Privacy Hanlin Gu Lixin Fan Bowen Li Jie Li Yan Kang Yuan Yao Qiang Yang FedML 75 24 0 27 Sep 2021
FedProc: Prototypical Contrastive Federated Learning on Non-IID data Xutong Mu Yulong Shen Ke Cheng Xueli Geng Jiaxuan Fu Tao Zhang Zhiwei Zhang FedML 33 161 0 25 Sep 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 122 139 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