FedMCSA: Personalized federated learning via model components self-attention

Author:

Guo QiORCID,Qi Yong,Qi Saiyu,Wu Di,Li Qian

Funder

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference54 articles.

1. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

2. Federated machine learning: Concept and applications;Yang;ACM Trans. Intell. Syst. Technol.,2019

3. Federated learning: Challenges, methods, and future directions;Li;IEEE Signal Process. Mag.,2020

4. Federated learning for mobile keyboard prediction;Hard,2018

5. Survey of personalization techniques for federated learning;Kulkarni,2020

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