A Survey on Federated Learning Technology

Author:

Zheng Xianghan1ORCID,Chen Yimi1ORCID,Li Zhengzheng1ORCID,He Renjie1ORCID

Affiliation:

1. Fuzhou University, China

Publisher

ACM

Reference71 articles.

1. Machine Learning Paradigms for Next-Generation Wireless Networks

2. Federated Learning

3. Perception of privacy and data protection in the context of the development of artificial intelligence

4. Communication-efficient learning of deep networks from decentralized data[J];Artificial Intelligence and Statistics

5. Hard A , Rao K , Mathews R , Ramaswamy S , Beaufays F , Augenstein S , Eichner H , Kiddon C , Ramage D. Federated learning for mobile keyboard prediction . 2018 , arXiv preprint arXiv: 1811.03604. Hard A, Rao K, Mathews R, Ramaswamy S, Beaufays F, Augenstein S, Eichner H, Kiddon C, Ramage D. Federated learning for mobile keyboard prediction. 2018, arXiv preprint arXiv: 1811.03604.

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1. Privacy-Preserving Vertical Federated Logistic Regression for Power Data Sharing;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

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