In federated learning, there can be significant differences in the datasets of different participants, known as the data bias problem. Additionally, model updates need to be aggregated at the ...

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

Researchers at Beihang University, in collaboration with the Beijing Zhongguancun Laboratory, have developed a new defense strategy called Long-Short Historical Gradient Federated Learning (LSH-FL), ...