1. Segment Anything
2. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and Blaise Aguera y Arcas. 2017. Communication-efficient learning of deep networks from decentralized data. In Artificial intelligence and statistics. PMLR 1273–1282.
3. Mu Li Li Zhou Zichao Yang Aaron Li Fei Xia David G Andersen and Alexander Smola. 2013. Parameter server for distributed machine learning. In Big learning NIPS workshop Vol. 6. 2.
4. Peter Kairouz, H Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, 2021. Advances and open problems in federated learning. Foundations and trends® in machine learning 14, 1–2 (2021), 1–210.
5. Tian Li, Anit Kumar Sahu, Ameet Talwalkar, and Virginia Smith. 2020. Federated learning: Challenges, methods, and future directions. IEEE signal processing magazine 37, 3 (2020), 50–60.