Integrated Sensing, Communication, and Computing for Cost-effective Multimodal Federated Perception
Ning Chen,
Zhipeng Cheng,
Xuwei Fan
et al.
Abstract:Federated learning (FL) is a prominent paradigm of 6G edge intelligence (EI), which mitigates privacy breaches and high communication pressure caused by conventional centralized model training in the artificial intelligence of things (AIoT). The execution of multimodal federated perception (MFP) services comprises three sub-processes, including sensing-based multimodal data generation, communication-based model transmission, and computing-based model training, ultimately competitive on available underlying mul… Show more
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