Federated Learning for Computational Offloading and Resource Management of Vehicular Edge Computing in 6G-V2X Network
National University of Malaysia · UCSI University · +4 more institutions
Abstract
The Sixth Generation network (6G) can support autonomous driving along with various vehicular applications like Vehicular Edge Computing (VEC), a distributed computing architecture for connected autonomous vehicles. Computational offloading and resource management of Vehicular Edge Computing can help sort out some issues, such as high communication costs, privacy protection, an excessively long training process, etc., by proposing an efficient training model of the Federated Learning for computational offloading and resource management in a vehicular environment. Two research issues are highlighted in this paper. One problem is related to the current offloading system: the smart structure and operating system.…
Citation impact
- FWCI
- 45.32
- Percentile
- 100%
- References
- 111
Authors
8Topics & keywords
- Computer science
- Edge computing
- Resource management (computing)
- Enhanced Data Rates for GSM Evolution
- Computer network
- Mobile edge computing
- Distributed computing
- Edge device