Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings

no code implementations • 1 Aug 2023 • Akihiro Mizoguchi, Anna Bogdanova, Akira Imakura, Tetsuya Sakurai

However, federated learning is encumbered by low accuracy in not identically and independently distributed (non-IID) settings, i. e., data partitioning has a large label bias, and is considered unsuitable for compound datasets, which tend to have large label bias.

Federated Learning