A Comparative Study of Client-Level Stabilization Techniques in Federated Learning for Robust Plant Disease Recognition
比较联邦学习客户端级稳定化技术，提升植物病害识别的鲁棒性。
← 主题
#数据隐私
An energy-aware federated intelligence framework for sustainable WSN-IoT ecosystems
提出EcoSense-AI联邦智能框架，解决WSN-IoT能耗、隐私与通信瓶颈。
System architecture and interactive LLM prompt framework for the integration of clinical and mitochondrial data in obesity: a software prototype and feasibility study
开发轻量本地软件原型与LLM提示框架，整合肥胖临床与线粒体数据。