Challenges in Federated Learning for Resource-Constrained IoT Environments: Energy Efficiency, Privacy, and Statistical Heterogeneity
Author:
Affiliation:
1. Multimedia University,Faculty of Engineering,Cyberjaya,Malaysia
Funder
Ministry of Higher Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10467192/10468068/10468189.pdf?arnumber=10468189
Reference29 articles.
1. Fog computing for next-generation Internet of Things: Fundamental, state-of-the-art and research challenges
2. Acceptance of IoT Edge-Computing-Based Sensors in Smart Cities for Universal Design Purposes
3. Internet of Things for smart energy systems: A review on its applications, challenges and future trends
4. Federated Learning: Challenges, Methods, and Future Directions
5. Privacy preservation in federated learning: An insightful survey from the GDPR perspective
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