Results 211 to 220 of about 14,306 (259)
Experimental sample-efficient and device-independent GHZ state certification. [PDF]
Sci AdvDos Santos Martins L +6 more
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Management of Severely Reduced Interimplant Distance Using a Novel Eccentric Abutment: A 6-Year Case Report Featuring Digital Quantification of Implant Spacing. [PDF]
Case Rep DentSchwarz DM +4 more
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Fed-DTCN: A Federated Disentangled Learning Framework for Unsupervised Zero-Day Anomaly Detection in IoT with Semantic-Aware Augmentation. [PDF]
Sensors (Basel)Khan MA, Khalid O, Rais RNB.
europepmc +1 more source
Federated learning on non-IID data: A survey [PDF]
Neurocomputing, 2021 Federated learning is an emerging distributed machine learning framework for privacy preservation. However, models trained in federated learning usually have worse performance than those trained in the standard centralized learning mode, especially when the training data are not independent and identically distributed (Non-IID) on the local devices. In
Yaochu Jin, Hangyu Zhu
exaly +4 more sources
Federated Learning With Taskonomy for Non-IID Data
IEEE Transactions on Neural Networks and Learning Systems, 2023 Classical federated learning approaches incur significant performance degradation in the presence of non-IID client data. A possible direction to address this issue is forming clusters of clients with roughly IID data. Most solutions following this direction are iterative and relatively slow, also prone to convergence issues in discovering underlying ...
Hadi Jamali-Rad, Anuj Singh
exaly +6 more sources
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Coefficient regularized regression with non-iid sampling
International Journal of Computer Mathematics, 2011In this paper, we study a more general kernel regression learning with coefficient regularization. A non-iid setting is considered, where the sequence of probability measures for sampling is not identical but the sequence of marginal distributions for sampling converges exponentially fast in the dual of a Holder space; the sampling zi, i ≥ 1 are weakly
Hongwei Sun, Qin Guo
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Introduction to the Non-IID Case
2004We present in the following some examples to motivate the extension of the classical extreme value theory for iid sequences to a theory for non iid sequences. We introduce different classes of non iid sequences together with the main ideas. The examples show that suitable restrictions for each class are needed to find limit results which are useful for
Michael Falk +2 more
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