Client-agnostic learning and zero-shot adaptation for federated domain generalization

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Federated domain generalization: A survey

Y Li, X Wang, R Zeng, PK Donta, I Murturi… - arxiv preprint arxiv …, 2023 - arxiv.org
Machine learning typically relies on the assumption that training and testing distributions are
identical and that data is centrally stored for training and testing. However, in real-world …
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Federated Learning for Internet of Things

Y Li, Q Zhang, X Wang, R Zeng, H Li, I Murturi… - Learning Techniques for …, 2023 - Springer
The proliferation of the Internet of Things (IoT) and the advancements in machine learning
(ML) have facilitated ubiquitous sensing and computing capabilities, enabling the …
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