A Secure Aggregation for Federated Learning on Long-Tailed Data

no code implementations • 17 Jul 2023 • Yanna Jiang, Baihe Ma, Xu Wang, Guangsheng Yu, Caijun Sun, Wei Ni, Ren Ping Liu

As a distributed learning, Federated Learning (FL) faces two challenges: the unbalanced distribution of training data among participants, and the model attack by Byzantine nodes.

Federated Learning

IronForge: An Open, Secure, Fair, Decentralized Federated Learning

no code implementations • 7 Jan 2023 • Guangsheng Yu, Xu Wang, Caijun Sun, Qin Wang, Ping Yu, Wei Ni, Ren Ping Liu, Xiwei Xu

Federated learning (FL) provides an effective machine learning (ML) architecture to protect data privacy in a distributed manner.

Fairness Federated Learning