FedMorph: Communication Efficient Federated Learning via Morphing Neural Network

no code implementations • 29 Sep 2021 • Guoqing Ma, Chuanting Zhang, Basem Shihada

The two fundamental bottlenecks in Federated Learning (FL) are communication and computation on heterogeneous edge networks, restricting both model capacity and user participation.

Federated Learning MORPH

Federated Radio Frequency Fingerprinting with Model Transfer and Adaptation

no code implementations • 22 Feb 2023 • Chuanting Zhang, Shuping Dang, Junqing Zhang, Haixia Zhang, Mark A. Beach

The Radio frequency (RF) fingerprinting technique makes highly secure device authentication possible for future networks by exploiting hardware imperfections introduced during manufacturing.

Federated Learning