Federated Learning via Input-Output Collaborative Distillation

1 code implementation • 22 Dec 2023 • Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David Doermann

Federated learning (FL) is a machine learning paradigm in which distributed local nodes collaboratively train a central model without sharing individually held private data.

Federated Learning Image Classification