Resource optimizing federated learning for use with IoT: A systematic review

LGF da Silva, DFH Sadok, PT Endo - Journal of Parallel and Distributed …, 2023 - Elsevier
Abstract Recently, Federated Learning (FL) has been explored as a new paradigm that
preserves both data privacy and end-users knowledge while reducing latency during model …

Latency optimization for blockchain-empowered federated learning in multi-server edge computing

DC Nguyen, S Hosseinalipour, DJ Love… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In this paper, we study a new latency optimization problem for blockchain-based federated
learning (BFL) in multi-server edge computing. In this system model, distributed mobile …

Low-latency federated learning with DNN partition in distributed industrial IoT networks

X Deng, J Li, C Ma, K Wei, L Shi… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Federated Learning (FL) empowers Industrial Internet of Things (IIoT) with distributed
intelligence of industrial automation thanks to its capability of distributed machine learning …

A fast blockchain-based federated learning framework with compressed communications

L Cui, X Su, Y Zhou - IEEE Journal on Selected Areas in …, 2022 - ieeexplore.ieee.org
Recently, blockchain-based federated learning (BFL) has attracted intensive research
attention due to that the training process is auditable and the architecture is serverless …

Blockchain assisted federated learning over wireless channels: Dynamic resource allocation and client scheduling

X Deng, J Li, C Ma, K Wei, L Shi, M Ding… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Blockchain technology has been extensively studied to enable distributed and tamper-proof
data processing in federated learning (FL). Most existing blockchain assisted FL (BFL) …