Search papers, labs, and topics across Lattice.
School of Statistics, Renmin University of China
2
0
5
By intelligently perturbing prototypes based on class variance, VPDR achieves a superior privacy-utility trade-off in personalized federated learning compared to naive Gaussian perturbation.
Transfer learning can unlock scalable emission control across diverse waste incineration plants by learning transferable system-level structures that capture physical constraints, operating-regime heterogeneity, and carbon-pollutant coupling.
