… of blockchain-enabled federated learning from a systematic … In this survey, we will elaborate
on how to use blockchain … the state-of-the-art methods proposed in the context of blockchain-…

… However, this approach is hardware-agnostic; to further reduce the resource demands of
federated training, we envision that the approach of hardware and algorithm co-design, which …

… For example, approaches that utilize both data-driven and trust-based techniques for … easily
integrated with federated learning approaches. Such a hybrid approach would preserve the …

… and deep learning to enhance the accuracy of vehicle positioning, these existing methods
still … METHODOLOGIES This section focuses on the methods in our study, including error …

… To address this issue, federated learning might be a viable approach that enables on-device
machine … While the majority of this study focuses on federated training, it also includes …

… The approaches proposed in this section allow the devices to learn the model parameters,
solution of (3), by relying solely on local cooperation with neighbors, and local in-network (as …

… existing approaches to achieve privacy-preserving computation. Diferent from the existing
surveys … been methodically analyzed in this survey. Understanding these design strategies will …

… [14] has emerged as a new machine learning approach for training models over distributed
… two federated learning schemes for VCPS. Then we apply the proposed federated learning …

… ways of connectivity other than the known centralised internet service provider connection. …
Choi, “Federated learning with blockchain for autonomous vehicles: Analysis and design …

… 3 shows a taxonomy of existing methods to address this problem and common datasets
and data settings. This paper summarizes the existing methods to solve the non-IID problem of …