FEDERATED LEARNING FRAMEWORK BASED ON TRIMMED MEAN AGGREGATION RULES

no code implementations • 29 Sep 2021 • Wang Tian Xiang, Meiyue Shao, Yanwei Fu, Riheng Jia, Feilong Lin, ZhongLong Zheng

Typically, aggregation rules are utilized to protect the model from the attacks in federated learning.

Federated Learning

An Improved Composite Functional Gradient Learning by Wasserstein Regularization for Generative adversarial networks

no code implementations • 29 Sep 2021 • Chang Wan, Yanwei Fu, Ke Fan, Jinshan Zeng, Ming Zhong, Riheng Jia, MingLu Li, ZhongLong Zheng

However, the discriminator using logistic regression from the CFG framework is gradually hard to discriminate between real and fake images while the training steps go on.

Image Generation regression

Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward

no code implementations • 3 May 2021 • Xiong Wang, Riheng Jia

In this paper, we study the mean field bandit game with a continuous reward function.