Summary of Fedvae: Trajectory Privacy Preserving Based on Federated Variational Autoencoder, by Yuchen Jiang et al.
FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoderby Yuchen Jiang, Ying Wu, Shiyao Zhang,…
FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoderby Yuchen Jiang, Ying Wu, Shiyao Zhang,…
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completenessby Yangyang Xiang, Nannan Wu, Li Yu,…
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentationby Luyuan Xie, Manqing…
Task-Agnostic Federated Learningby Zhengtao Yao, Hong Nguyen, Ajitesh Srivastava, Jose Luis AmbiteFirst submitted to arxiv…
GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Searchby Wenbo Yu, Hao Fang, Bin…
Gradient Inversion of Federated Diffusion Modelsby Jiyue Huang, Chi Hong, Lydia Y. Chen, Stefanie RoosFirst…
Cross-Training with Multi-View Knowledge Fusion for Heterogenous Federated Learningby Zhuang Qi, Lei Meng, Weihao He,…
Optimizing Split Points for Error-Resilient SplitFed Learningby Chamani Shiranthika, Parvaneh Saeedi, Ivan V. BajićFirst submitted…
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Databy Rongyu Zhang, Yun Chen, Chenrui Wu,…
A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applicationsby Antonio Boiano, Marco Di…