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Florida State University
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MobiDiff achieves a 5.3x speedup in generating synthetic mobility data while maintaining high fidelity to real-world patterns.
Generating synthetic human activity traces that are both realistic and privacy-preserving is now significantly more achievable, thanks to a novel coarse-to-fine diffusion framework that boosts spatio-temporal fidelity by over 30%.
Combining human couriers and sensing robots can boost sensing coverage by nearly 30% and courier income by almost 40%, all while improving delivery times.
