Promoting Data and Model Privacy in Federated Learning through Quantized LoRA

JianHao Zhu, Changze Lv, Xiaohua Wang +7

Conventional federated learning primarily aims to secure the privacy of data distributed across multiple edge devices, with the global model dispatched to edge devices for paramete…