Leveraging Kernel Symmetry for Joint Compression and Error Mitigation in Edge Model Transfer
arXiv:2604.17371v1 Announce Type: cross
Abstract: This paper investigates communication-efficient neural network transmission by exploiting structured symmetry constraints in convolutional kernels. Instead of transmitting all model parameters, we prop…