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Efficient Split Learning with Non-iid Data
2022 23rd IEEE International Conference on Mobile Data Management (MDM), 2022Yuanqin Cai, Tongquan Wei
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Kernel Measures of Independence for non-iid Data.
2009Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this criterion to deal with structured and interdependent observations. This is achieved by modeling the structures using undirected graphical models and comparing the Hilbert space
Zhang, X. +3 more
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Private Data Synthesis from Decentralized Non-IID Data
2023 International Joint Conference on Neural Networks (IJCNN), 2023Muhammad Usama Saleem, Liyue Fan
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Communication-Efficient Federated Data Augmentation on Non-IID Data
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022Hui Wen 0005 +3 more
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Federated Dictionary Learning from Non-IID Data
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2022Alexandros Gkillas +2 more
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A Novel Approach for Federated Learning with Non-IID Data
2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI), 2022Hiep Thi Hong Nguyen +2 more
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Federated Learning With Server Learning for Non-IID Data
2023 57th Annual Conference on Information Sciences and Systems (CISS), 2023Van Sy Mai +4 more
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Contractible Regularization for Federated Learning on Non-IID Data
2022 IEEE International Conference on Data Mining (ICDM), 2022Zifan Chen +6 more
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Discrepancy-Aware Federated Learning for Non-IID Data
2023 IEEE Wireless Communications and Networking Conference (WCNC), 2023Jianhua Shen, Siguang Chen
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A State-of-the-Art Survey on Solving Non-IID Data in Federated Learning
Future Generation Computer Systems, 2022Jia Zhu, Xiaodong Ma
exaly