Federated Learning-driven Trust Prediction for Mobile Edge Computing-based IoT Systems
Author:
Affiliation:
1. RMIT University,School of Computing Technologies,Melbourne,Australia
Funder
Australian Government
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10248204/10248227/10248268.pdf?arnumber=10248268
Reference12 articles.
1. Federated learning with non-iid data;zhao;arXiv preprint arXiv 1806 00582,2018
2. Mobile edge computing---a key technology towards 5g;hu;ETSI White Paper,2015
3. Federated multi-task learning under a mixture of distributions;marfoq;Advances in neural information processing systems,2021
4. Edge Intelligence for Real-Time IoT Service Trust Prediction
5. Data centric trust evaluation and prediction framework for IOT
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. TMPAD: Time-Slot-Based Medium Access Control Protocol to Meet Adaptive Data Requirements for Trusted Nodes in Fog-Enabled Smart Cities;Applied Sciences;2024-02-05
2. TIHCS: Trust-Based Improved QoS for Health Care Systems in Smart Cities;IEEE Access;2024
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