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NTIS 바로가기Journal of Internet Computing and Services = 인터넷정보학회논문지, v.24 no.4, 2023년, pp.1 - 13
김진수 (Innopia Technologies, Inc) , 양세모 (Dept. of Computer Engineering, Gachon University) , 이강윤 (Dept. of Computer Engineering, Gachon University) , 이광기 (Innopia Technologies, Inc)
As federated learning brings a large paradigm to modern artificial intelligence research, efforts are being made to incorporate federated learning into research in various fields. However, researchers who apply federated learning face the problem of choosing a federated learning framework and benchm...
Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp,?Dzmitry Huba, Alex Ingerman, Vladimir Ivanov, Chloe?Kiddon, Jakub Konecny, Stefano Mazzocchi, Brendan?McMahan, Timon Van Overveldt, David Petrou, Daniel?Ramage, Jason Roselander, "Towards Federated?Learning at Scale: System Design", Proceedings of?Machine Learning and Systems, Vol. 1, pp. 374-388,?2019.?https://arxiv.org/abs/1902.01046
Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar?Sanjabi, Ameet Talwalkar, and Virginia Smith.?Federated optimization in heterogeneous networks. In?Third Conference on Machine Learning and Systems?(MLSys), 2020. https://arxiv.org/abs/1812.06127
Chen Zhang, Yu Xie, Hang Bai, Bin Yu, Weihong Li,?Yuan Gao, "A survey on federated learning",?Knowledge-Based Systems, Vol. 216, 2021.?https://doi.org/10.1016/j.knosys.2021.106775
Ahmed Saidanim, "A Systematic Comparison of?Federated Machine Learning Libraries",?DEPARTMENT OF INFORMATICS TECHNISCHE?UNIVERSITAT MuNCHEN, 2023.
https://github.com/OnizukaLab/FedBench
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https://github.com/tensorflow/federated
https://github.com/FederatedAI/FATE
Chaoyang He, Songze Li, Jinhyun So, Xiao Zeng, Mi?Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth?Vepakomma, Abhishek Singh, Hang Qiu, Xinghua Zhu,?Jianzong Wang, Li Shen, Peilin Zhao, Yan Kang, Yang?Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram,?Salman Avestimehr, "FedML: A Research Library and?Benchmark for Federated Machine Learning", arXiv,?2020. https://doi.org/10.48550/arXiv.2007.13518
Daniel J. Beutel, Taner Topal, Akhil Mathur, Xinchi?Qiu, Javier Fernandez-Marques, et al. "FLOWER: A?FRIENDLY FEDERATED LEARNING FRAMEWORK".?2022. https://hal.science/hal-03601230
https://github.com/PaddlePaddle/PaddleFL
Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi,?and H. Vincent Poor, "Tackling the objective?inconsistency problem in heterogeneous federated?optimization", Proceedings of the 34th International?Conference on Neural Information Processing Systems?(NIPS'20), No. 638, pp. 7611-7623, 2020.?https://doi.org/10.48550/arXiv.2007.07481
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