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Recently, federated learning has emerged as a promising approach for training a global model using data from multiple organizations without leaking their raw data.
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Agnostic Federated Learning
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Principled learning method for Wasserstein distributionally robust optimization with local perturbations
Kwon, Y., Kim, W., Won, J.-H., and Paik, M. C · 2020
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Federated optimization in heterogeneous networks
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Practical privacy preserving POI recommendation
Chen, C., Zhou, J., Wu, B., Fang, W., Wang, L., Qi, Y., and Zheng, X
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Ditto: Fair and robust federated learning through personalization
Li, T., Hu, S., Beirami, A., and Smith, V · 2021
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Adaptive federated optimization
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