LSFL: A lightweight and secure federated learning scheme for edge computing

Z Zhang, L Wu, C Ma, J Li, J Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Nowadays, many edge computing service providers expect to leverage the computational
power and data of edge nodes to improve their models without transmitting data. Federated …
被引用次数：36 相关文章

LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing

Z Zhang, L Wu, C Ma, J Li, J Wang, Q Wang, S Yu - 2023 - dro.deakin.edu.au
Nowadays, many edge computing service providers expect to leverage the computational
power and data of edge nodes to improve their models without transmitting data. Federated …

LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing

Z Zhang, L Wu, C Ma, J Li, J Wang… - IEEE TRANSACTIONS …, 2023 - openreview.net
Nowadays, many edge computing service providers expect to leverage the computational
power and data of edge nodes to improve their models without transmitting data. Federated …

LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing

Z Zhang, L Wu, C Ma, J Li, J Wang, Q Wang, S Yu - 2023 - dro.deakin.edu.au
Nowadays, many edge computing service providers expect to leverage the computational
power and data of edge nodes to improve their models without transmitting data. Federated …