Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration

@article{Liu2022TowardAI,
  title={Toward Ambient Intelligence: Federated Edge Learning with Task-Oriented Sensing, Computation, and Communication Integration},
  author={Peixi Liu and Guangxu Zhu and Shuai Wang and Wei Jiang and Wu Luo and H. Vincent Poor and Shuguang Cui},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.05949}
}
—With the breakthroughs in deep learning and con- tactless sensors, the recent years have witnessed a rise of ambient intelligence applications and services, spanning from healthcare delivery to intelligent home. Federated edge learning (FEEL), as a privacy-enhancing paradigm of collaborative learning at the network edge, is expected to be the core engine to achieve ambient intelligence. Sensing, computation, and communication (SC 2 ) are highly coupled processes in FEEL and need to be jointly… 
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