Shangshang Song

Enhancing Federated Domain Adaptation via Multi-Granular Fine-Grained Alignment

Traditional unsupervised multi-source domain adaptation usually assumes that all source domain data can be utilized during training. Unfortunately, due to practical concerns such as privacy, data storage, and computational costs, data from different source domains are often isolated from each other.…