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 …
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
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 …
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
Federated Learning (FL) empowers Industrial Internet of Things (IIoT) with distributed
intelligence of industrial automation thanks to its capability of distributed machine learning …
intelligence of industrial automation thanks to its capability of distributed machine learning …
A fast blockchain-based federated learning framework with compressed communications
Recently, blockchain-based federated learning (BFL) has attracted intensive research
attention due to that the training process is auditable and the architecture is serverless …
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
Blockchain technology has been extensively studied to enable distributed and tamper-proof
data processing in federated learning (FL). Most existing blockchain assisted FL (BFL) …
data processing in federated learning (FL). Most existing blockchain assisted FL (BFL) …