612 citations · 648 across the 2 of their papers we have counts for
5 papers
Backdoor attacks and defenses in feature-partitioned collaborative learning
Yang Liu, Zhihao Yi, Tianjian Chen
Since there are multiple parties in collaborative learning, malicious parties might manipulate the learning process for their own purposes through backdoor attacks. However, most o…
Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective
Yilun Jin, Xiguang Wei, Yang Liu +1
Federated Learning (FL) proposed in recent years has received significant attention from researchers in that it can bring separate data sources together and build machine learning…
Secure and Efficient Federated Transfer Learning
Shreya Sharma, Xing Chaoping, Yang Liu +1
Machine Learning models require a vast amount of data for accurate training. In reality, most data is scattered across different organizations and cannot be easily integrated under…
Federated Machine Learning: Concept and Applications
Qiang Yang, Yang Liu, Tianjian Chen +1
Today's AI still faces two major challenges. One is that in most industries, data exists in the form of isolated islands. The other is the strengthening of data privacy and securit…
Secure Federated Transfer Learning
Yang Liu, Yan Kang, Chaoping Xing +2
Machine learning relies on the availability of a vast amount of data for training. However, in reality, most data are scattered across different organizations and cannot be easily…