Manuscript Topics

Nowadays, transmission of multimedia involving virtual reality and digital twin draws an urgent demand for ultra-broad bandwidth and privacy-protected communications. The emerging 5G wireless technology is considered to be a promising solution to achieve this objective. Advanced multimedia applications involving high-dimensional big data depend on distributed machine-learning networks and federate edge-computing strategies to be time-efficient, privacy-protective, and resource-shareable. In this special issue, we would like to call scientists, engineers, and researchers whose research interest is in this paradigm to contribute your research works in theories and practice. New ideas and experimental results are welcome to address this important topic on distributed machine learning and federate edge computing for 5G wireless networks.

Keywords: 5G wireless networks, distributed machine learning, federated learning, edge computing, artificial intelligence

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