CREWS achieves robust collaborative WiFi sensing under node dropout and asynchronous arrivals via a cardinality-normalized set aggregator, elastic parameter alignment, and staleness-aware adaptive feature replay, with a proven joint convergence guarantee.
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RF-CMG synthesizes high-quality mmWave and RFID signals from WiFi using a diffusion model with Modality-Guided Embedding for high-frequency details and Low-Frequency Modality Consistency to preserve physical structure.
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CREWS: Collaborative Robust Edge WiFi Sensing with Asynchronous and Incomplete Observations
CREWS achieves robust collaborative WiFi sensing under node dropout and asynchronous arrivals via a cardinality-normalized set aggregator, elastic parameter alignment, and staleness-aware adaptive feature replay, with a proven joint convergence guarantee.
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Cross-Modal Generation: From Commodity WiFi to High-Fidelity mmWave and RFID Sensing
RF-CMG synthesizes high-quality mmWave and RFID signals from WiFi using a diffusion model with Modality-Guided Embedding for high-frequency details and Low-Frequency Modality Consistency to preserve physical structure.