2 papers
eess.IV2025
Towards Computation- and Communication-efficient Computational Pathology
Chu Han, Bingchao Zhao, Jiatai Lin +9
Despite the impressive performance across a wide range of applications, current computational pathology models face significant diagnostic efficiency challenges due to their relian…
eess.IV2023
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification
Tianpeng Deng, Yanqi Huang, Guoqiang Han +7
Histopathological tissue classification is a fundamental task in computational pathology. Deep learning-based models have achieved superior performance but centralized training wit…