1 citations · 2 across the 4 of their papers we have counts for
4 papers
SecureCut: Federated Gradient Boosting Decision Trees with Efficient Machine Unlearning
Jian Zhang, Bowen Li Jie Li, Chentao Wu
In response to legislation mandating companies to honor the \textit{right to be forgotten} by erasing user data, it has become imperative to enable data removal in Vertical Federat…
Temporal Gradient Inversion Attacks with Robust Optimization
Bowen Li, Hanlin Gu, Ruoxin Chen +5
Federated Learning (FL) has emerged as a promising approach for collaborative model training without sharing private data. However, privacy concerns regarding information exchanged…
A Smart Contract based Crowdfunding Mechanism for Hierarchical Federated Learning
Hongze Liu, Jie Li, Shijing Yuan +2
Hierarchical Federated Learning (HFL) is introduced as a promising technique that allows model owners to fully exploit computational resources and bandwidth resources to train the…
FedIPR: Ownership Verification for Federated Deep Neural Network Models
Bowen Li, Lixin Fan, Hanlin Gu +2
Federated learning models are collaboratively developed upon valuable training data owned by multiple parties. During the development and deployment of federated models, they are e…