Federaser: Enabling efficient client-level data removal from federated learning models
Federated learning (FL) has recently emerged as a promising distributed machine learning
(ML) paradigm. Practical needs of the" right to be forgotten" and countering data poisoning …
(ML) paradigm. Practical needs of the" right to be forgotten" and countering data poisoning …
[PDF][PDF] FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models
G Liu, X Ma, Y Yang, C Wang, J Liu - chenwang.net.cn
Federated learning (FL) has recently emerged as a promising distributed machine learning
(ML) paradigm. Practical needs of the “right to be forgotten” and countering data poisoning …
(ML) paradigm. Practical needs of the “right to be forgotten” and countering data poisoning …
[PDF][PDF] FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models
G Liu, X Ma, Y Yang, C Wang, J Liu - chenwang.net.cn
Federated learning (FL) has recently emerged as a promising distributed machine learning
(ML) paradigm. Practical needs of the “right to be forgotten” and countering data poisoning …
(ML) paradigm. Practical needs of the “right to be forgotten” and countering data poisoning …