Results 241 to 250 of about 9,950,038 (297)

Achieving consistency in FedSAM using local adaptive distillation on sports image classification. [PDF]

PLoS One
Zhen K, Wu J, Park J, Shao R, Zhang X, Yu S.   +5 more
europepmc   +1 more source

Collaborative and privacy-preserving cross-vendor united diagnostic imaging via server-rotating federated machine learning. [PDF]

Commun Eng
Wang H, Zhang X, Ren X, Zhang Z, Yang S, Lian C, Ma J, Zeng D.   +7 more
europepmc   +1 more source

Psychiatric Morbidity Following Intestinal Infectious Diseases: A Nationwide Cohort Study in South Korea. [PDF]

Stress Health
Kang C, Lee SW, Jung H, Bae Y.
europepmc   +1 more source

Layer-based personalized multi-fusion federated learning. [PDF]

Sci Rep
Yang W, Chen B, Wang Z.
europepmc   +1 more source

TCS-FEEL: Topology-Optimized Federated Edge Learning with Client Selection. [PDF]

Sensors (Basel)
Chen H, Li H.
europepmc   +1 more source

Discussion of ‘Robust distance covariance’ by S. Leyder, J. Raymaekers and P. J. Rousseeuw

International Statistical Review, EarlyView.
Hallin Marc, Davide La Vecchia, Hang Liu, Xinyi Xu   +3 more
wiley   +1 more source

The third study of infectious intestinal disease in the community microbiological methods

Bronowski C, Hughes A, Jenkins C, Godbole G, Chalmers R, Celma C, Beard S, McDowell M, Oates M, Elwin K, Cunningham-Oakes E, Darby A, Hungerford D, Mill A, O’Brien S, Hopkins M, Cunliffe N, the IID3 Consortium.   +17 more
europepmc   +1 more source

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Optimizing Federated Learning on Non-IID Data with Reinforcement Learning

IEEE Conference on Computer Communications, 2020
The widespread deployment of machine learning applications in ubiquitous environments has sparked interests in exploiting the vast amount of data stored on mobile devices.
Hao Wang, Zakhary Kaplan, Di Niu, Baochun Li   +3 more
semanticscholar   +1 more source

Introduction to the Non-IID Case

2004
We 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, Rolf-Dieter Reiss, Jürg Hüsler   +2 more
openaire   +1 more source

Coefficient regularized regression with non-iid sampling

International Journal of Computer Mathematics, 2011
In 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
openaire   +1 more source