Communication-Efficient Learning of Deep Networks from Decentralized Data, H. Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, Blaise Agüera y Arcas, 2017Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) 2017. JMLR: W&CP volume 54, Vol. 54 (JMLR: Workshop and Conference Proceedings)DOI: 10.48550/arXiv.1602.05629 - Presents Federated Averaging, a core algorithm implemented by FL frameworks.
Flower: A Friendly Federated Learning Research Framework, Daniel Beutel, Taner Topal, Jannis Klinkenberg, Alexander Krauss, Pedro Barbosa, Nicholas McCarthy, Akhil Mathur, Nic Lane, 2022IEEE Transactions on Parallel and Distributed Systems, Vol. 33 (IEEE)DOI: 10.1109/TPDS.2022.3162124 - Presents Flower's design for accessible and framework-agnostic federated learning research.