Dual-channel Prototype Network for few-shot Classification of Pathological Images

no code implementations • 14 Nov 2023 • Hao Quan, Xinjia Li, Dayu Hu, Tianhang Nan, Xiaoyu Cui

The approach enhances the versatility of prototype representations and elevates the efficacy of prototype networks in few-shot pathological image classification tasks.

Classification Few-Shot Learning +2

FedDKD: Federated Learning with Decentralized Knowledge Distillation

no code implementations • 2 May 2022 • Xinjia Li, BoYu Chen, Wenlian Lu

The FedDKD introduces a module of decentralized knowledge distillation (DKD) to distill the knowledge of the local models to train the global model by approaching the neural network map average based on the metric of divergence defined in the loss function, other than only averaging parameters as done in literature.

Federated Learning Knowledge Distillation