8 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Elastically-Constrained Meta-Learner for Federated Learning
Peng Lan, Donglai Chen, Chong Xie +5
Federated learning is an approach to collaboratively training machine learning models for multiple parties that prohibit data sharing. One of the challenges in federated learning i…
cs.CR2020★ 8 cited
Practical Privacy Attacks on Vertical Federated Learning
Haiqin Weng, Juntao Zhang, Xingjun Ma +4
Federated learning (FL) is a privacy-preserving learning paradigm that allows multiple parities to jointly train a powerful machine learning model without sharing their private dat…