Author:
Tu Yuchun,Song Xiao,Liu Songsong,Li Yong,Gong Kaiqi
Publisher
Springer Nature Singapore
Reference26 articles.
1. Li, Z., et al.: FedCORE: federated learning for cross-organization recommendation ecosystem. IEEE Trans. Knowl. Data Eng. (2024)
2. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005)
3. Li, T., Sahu, A.K., Talwalkar, A., Smith, V.: Federated learning: challenges, methods, and future directions. IEEE Sig. Process. Mag. 37(3), 50–60 (2020)
4. Kairouz, P., et al.: Advances and open problems in federated learning. Found. Trends® Mach. Learn. 14(1–2), 1–210 (2021)
5. McMahan, B., Moore, E., Ramage, D., Hampson, S., y Arcas, B.A.: Communication-efficient learning of deep networks from decentralized data. Artif. Intell. Stat. (2017)