A Federated Parameter Aggregation Method for Node Classification Tasks with Different Graph Network Structures

no code implementations • 24 Mar 2024 • Hao Song, Jiacheng Yao, Zhengxi Li, Shaocong Xu, Shibo Jin, Jiajun Zhou, Chenbo Fu, Qi Xuan, Shanqing Yu

Additionally, for the privacy security of FLGNN, this paper designs membership inference attack experiments and differential privacy defense experiments.

Federated Learning Inference Attack +2

Digital versus Analog Transmissions for Federated Learning over Wireless Networks

no code implementations • 15 Feb 2024 • Jiacheng Yao, Wei Xu, Zhaohui Yang, Xiaohu You, Mehdi Bennis, H. Vincent Poor

In this paper, we quantitatively compare these two effective communication schemes, i. e., digital and analog ones, for wireless federated learning (FL) over resource-constrained networks, highlighting their essential differences as well as their respective application scenarios.

Federated Learning