A Secure and Efficient Distributed Semantic Communication System for Heterogeneous Internet of Things Devices

no code implementations • 19 Jul 2024 • Weihao Zeng, Xinyu Xu, Qianyun Zhang, Jiting Shi, Zhijin Qin, Zhenyu Guan

Experiments show that the system is able to achieve integrity, availability, efficiency and the preservation of privacy.

Privacy Preserving Semantic Communication

Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search

no code implementations • 23 Feb 2022 • Chunhui Zhang, Xiaoming Yuan, Qianyun Zhang, Guangxu Zhu, Lei Cheng, Ning Zhang

To further adapt to both various data distributions and different types of devices with heterogeneous embedded hardware platforms, inspired by meta-learning, a Cluster Federated Direct Neural Architecture Search (CFDNAS) framework is proposed to achieve device-aware NAS, in the sense that each device can learn a tailored deep learning model for its particular data distribution and hardware constraint.

Federated Learning Meta-Learning +1