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Knowledge sharing and model personalization are essential components to tackle the non-IID challenge in federated learning (FL).
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“An efficient framework for clustered federated learning”
Avishek Ghosh, Jichan Chung, Dong Yin and Kannan Ramchandran · 2020
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“Decentralized knowledge acquisition for mobile internet applications”
Jing Jiang, Shaoxiong Ji and Guodong Long · 2020
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“SCAFFOLD: Stochastic controlled averaging for federated learning”
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Ahmed Khaled, Konstantin Mishchenko and Peter Richtárik · 2020
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“Think locally, act globally: Federated learning with local and global representations”
“FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks”
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“Robust Convergence in Federated Learning through Label-wise Clustering”
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Paul Liang et al · 2020
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“Three approaches for personalization with applications to federated learning”
Yishay Mansour, Mehryar Mohri, Jae Ro and Ananda Suresh · 2020
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“FedGAN: Federated generative adversarial networks for distributed data”
Mohammad Rasouli, Tao Sun and Ram Rajagopal · 2020
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“Adaptive federated optimization”
Sashank Reddi et al · 2020
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Nicola Rieke et al · 2020
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“Clustered federated learning: Model-agnostic distributed multitask optimization under privacy constraints”
Felix Sattler, Klaus-Robert Müller and Wojciech Samek · 2020
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“Personalized federated learning with moreau envelopes”
Canh T, Nguyen Tran and Josh Nguyen · 2020
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“Lotteryfl: Empower edge intelligence with personalized and communication-efficient federated learning”
Ang Li et al · 2021
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“Model-contrastive federated learning”
Qinbin Li, Bingsheng He and Dawn Song · 2021
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“Ditto: Fair and robust federated learning through personalization”
Tian Li, Shengyuan Hu, Ahmad Beirami and Virginia Smith · 2021
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“Personalized federated learning using hypernetworks”
Aviv Shamsian, Aviv Navon, Ethan Fetaya and Gal Chechik · 2021
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“Fedproto: Federated prototype learning over heterogeneous devices”
Yue Tan et al · 2021
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Jianyu Wang et al · 2021
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Jie Xu et al · 2021
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“Federated learning for privacy-preserving open innovation future on digital health”
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Zhaohua Zheng et al · 2022
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Liam Collins, Hamed Hassani, Aryan Mokhtari and Sanjay Shakkottai · 2099
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