Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning-Reference-Cited by-同舟云学术

Explainable Trust-aware Selection of Autonomous Vehicles Using LIME for One-Shot Federated Learning

Published:2023-06-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Wireless Communications and Mobile Computing (IWCMC)
language:
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Author:

Rjoub Gaith¹,Bentahar Jamal²,Wahab Omar Abdel³

Affiliation:

1. Princess Sumaya University for Technology (PSUT),King Hussein School of Computing Sciences,Jordan,Amman

2. Concordia Institute for Information Systems Engineering (CIISE) Concordia University,Montreal,Canada

3. Polytechnique Montréal,Department of Computer and Software Engineering,Montréal,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10182387/10182368/10182876.pdf?arnumber=10182876

Reference27 articles.

1. Quantitative group trust: A two-stage verification approach;bentahar;21st International Conference on Autonomous Agents and Multiagent Systems AAMAS,0

2. Trust-driven reinforcement selection strategy for federated learning on IoT devices

3. A trust and energy-aware double deep reinforcement learning scheduling strategy for federated learning on IoT devices;rjoub;Service-Oriented Computing 18th International Conference ICSOC 2020,2020

4. Specification and automatic verification of trust-based multi-agent systems

5. Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection

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