IEEE

PUP-Net: A Twofold Physical Model Embedded 3-D U-Net With Polarization Fusion for Solving Inverse Scattering Problems With a Sparse Planar Array

Abstract: In this article, a twofold physical model (PM) embedded 3-D U-Net with polarization fusion (PF), referred to as PUP-Net, is proposed for solving 3-D inverse scattering problems (ISPs) with a ...
IEEE

FedCFM: Tackling Client Dropout in Federated Learning through Model Contrastive Fusion

Abstract: Federated learning (FL) is a burgeoning distributed learning architecture aiming at privacy protection, where multiple clients collaborate to complete the model training task without sharing ...