Blockchain|Based Federated Learning in Mobile Edge ...

Blockchain-Based Federated Learning in Mobile Edge Networks ...

An autonomous blockchain empowered privacy-preserving FL framework in this paper, where the mobile edge computing (MEC) technology was naturally integrated in ...

Blockchain-Based Federated Learning in Mobile Edge ... - arXiv

each connected vehicle as mobile data centers and allow vehicles to jointly train a shared global model in a de- centralized manner, thus ...

Blockchain-Based Federated Learning in Mobile Edge Networks ...

An autonomous blockchain empowered privacy-preserving FL framework is proposed in this paper, where the mobile edge computing (MEC) technology was naturally ...

A Blockchain-Enabled Federated Learning System with Edge ...

Bift enables distributed CAVs to train machine learning models locally using their own driving data and then upload the local models to the nearest mobile edge ...

Resource Optimization for Blockchain-Based Federated Learning in ...

With the booming of mobile edge computing (MEC) and blockchain-based blockchain-based federated learning (BCFL), more studies suggest ...

Blockchain-Based Federated Learning in Mobile Edge Networks ...

Request PDF | Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles | The rapid increase of the data scale in ...

A scalable blockchain-enabled federated learning architecture for ...

However, existing studies often overlook the resource requirements of blockchain consensus processing in typical Internet of Things (IoT) edge network settings.

Privacy protection federated learning system based on blockchain ...

Privacy protection federated learning system based on blockchain and edge computing in mobile crowdsourcing. Author links open overlay panel

(PDF) Mobile Edge Computing, Blockchain and Reputation-based ...

Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving ...

Joint blockchain and federated learning-based offloading in harsh ...

Liang Huang, Xu Feng, Anqi Feng, Yupin Huang, and Li Ping Qian. 2018. Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks. Mobile ...

A Survey on Blockchain-Based Federated Learning - MDPI

[26] explored the integration of blockchain and FL, taking into account communication costs and resource allocation in mobile edge computing scenarios. Issa et ...

A reliable and fair federated learning mechanism for mobile edge ...

To solve the fairness problem caused by end nodes' escape, a reward-penalty scheme using blockchain is proposed. Finally, the numerical results clearly show ...

[PDF] Mobile Edge Computing, Blockchain and Reputation-based ...

Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System.

Blockchain-empowered Federated Learning: Challenges, Solutions ...

In terms of the applications of BlockFed, some surveys only consider a particular area, e.g., mobile edge computing [70], internet of things [2] ...

Blockchain-based federated learning methodologies in smart ...

The authors developed the framework using several cutting-edge technologies, such as a mobile cloud server, blockchain, cloud storage, and FL.

Blockchain-Enabled Asynchronous Federated Learning in Edge ...

Bonawitz [36] coped with training issues of abnormal suspends via discarding a network-disconnected mobile device, caused by a poor wireless ...

Blockchain for federated learning toward secure distributed machine ...

... edge AI: intelligentizing mobile edge computing, caching and communication by federated learning. IEEE Netw 33:156–165. Article Google ...

(PDF) Federated Learning Meets Blockchain in Edge Computing

The FL consists of two stages: in the first stage, customers train the initial model using the phone and the edge computing server collaboratively. The mobile ...

Lightweight Blockchain-empowered Secure and Efficient Federated ...

The impressive performance of Deep Learning models relies substantially on large-scale and high-quality data for model training. Nowadays, networked edge ...

Federated Learning Meets Blockchain in Edge Computing

Mobile-edge computing (MEC) has been envisioned as a promising paradigm to handle the massive volume of data generated from ubiquitous mobile ...