… 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 federatedlearningapproaches. Such a hybrid approach would preserve the …
X Kong, H Gao, G Shen, G Duan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
… and deep learning to enhance the accuracy of vehicle positioning, these existingmethods still … METHODOLOGIES This section focuses on the methods in our study, including error …
… To address this issue, federatedlearning 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 …
J Chen, H Yan, Z Liu, M Zhang, H Xiong… - ACM Computing Surveys, 2024 - dl.acm.org
… existingapproaches 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 learningapproach for training models over distributed … two federatedlearning schemes for VCPS. Then we apply the proposed federatedlearning …
M Al-Quraan, L Mohjazi, L Bariah… - … on Emerging Topics …, 2023 - ieeexplore.ieee.org
… ways of connectivity other than the known centralised internet service provider connection. … Choi, “Federatedlearning with blockchain for autonomousvehicles: Analysis and design …
X Ma, J Zhu, Z Lin, S Chen, Y Qin - Future Generation Computer Systems, 2022 - Elsevier
… 3 shows a taxonomy of existingmethods to address this problem and common datasets and data settings. This paper summarizes the existingmethods to solve the non-IID problem of …