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Ten Challenging Problems in Federated Foundation Models 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2025, 卷号: 37, 期号: 7, 页码: 4314-4337
作者:  Fan, Tao;  Gu, Hanlin;  Cao, Xuemei;  Chan, Chee Seng;  Chen, Qian;  Chen, Yiqiang;  Feng, Yihui;  Gu, Yang;  Geng, Jiaxiang;  Luo, Bing;  Liu, Shuoling;  Ong, Win Kent;  Ren, Chao;  Shao, Jiaqi;  Sun, Chuan;  Tang, Xiaoli;  Tae, Hong Xi;  Tong, Yongxin;  Wei, Shuyue;  Wu, Fan;  Xi, Wei;  Xu, Mingcong;  Yang, He;  Yang, Xin;  Yan, Jiangpeng;  Yu, Hao;  Yu, Han;  Zhang, Teng;  Zhang, Yifei;  Zhang, Xiaojin;  Zheng, Zhenzhe;  Fan, Lixin;  Yang, Qiang
收藏  |  浏览/下载：1/0  |  提交时间：2025/12/03
Frequency modulation  Foundation models  Privacy  Optimization  Adaptation models  Watermarking  Knowledge transfer  Training  Fans  Data privacy  Federated foundation models (FedFMs)  federated learning  foundation models  large language models  privacy-preserving Ai