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 …

Decentralized federated learning for internet of things anomaly detection

Z Lian, C Su - Proceedings of the 2022 ACM on Asia Conference on …, 2022 - dl.acm.org
With the improvement of computing power and the development of network technology,
Internet of Things (IoT) devices are widely used in many industries. But it also faces various …

The cost of training machine learning models over distributed data sources

E Guerra, F Wilhelmi, M Miozzo… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Federated learning is one of the most appealing alternatives to the standard centralized
learning paradigm, allowing a heterogeneous set of devices to train a machine learning …

Tactile internet of federated things: Toward fine-grained design of FL-based architecture to meet TIoT demands

O Alnajar, A Barnawi - Computer Networks, 2023 - Elsevier
Abstract The Tactile Internet of Things (TIoT) represents a special class of the Internet of
Things (IoT) that has opened the door for a new generation of agile, highly dynamic …

Performance evaluation, optimization and dynamic decision in blockchain systems: a recent overview

QL Li, YX Chang, Q Wang - arXiv preprint arXiv:2211.15907, 2022 - arxiv.org
With rapid development of blockchain technology as well as integration of various
application areas, performance evaluation, performance optimization, and dynamic decision …

ブロックチェーン技術を活用したクラスタ型連合学習の基礎検討

内山光彩, 鈴木昇太, 小野智司 - 人工知能学会全国大会論文集第38 回 …, 2024 - jstage.jst.go.jp
抄録 クラスタ型連合学習は, 参加者をクラスタに分類することで, 各クラスタ内でモデルの構築を
目指す. これは, 個々の参加者が, 分布の異なるデータを所持する, 不均一性のある環境においても …