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Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling
IEEE AccessFederated learning that is an approach to addressing the “data silo” problem in a collaborative fashion may face the risk of data leakage in real-world contexts.
Yi Chen, Dan Chen, Niansheng Tang
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Music Genre and Emotion Recognition Using Gaussian Processes
IEEE Access, 2014 Gaussian Processes (GPs) are Bayesian nonparametric models that are becoming more and more popular for their superior capabilities to capture highly nonlinear data relationships in various tasks, such as dimensionality reduction, time series analysis ...
Konstantin Markov, Tomoko Matsui
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Proceedings Thirteenth International Conference on Scientific and Statistical Database Management. SSDBM 2001, 2002 An object oriented statistical metadata model is presented, which can be used in building information systems providing metadata-guided, statistical data processing features. The semantics of the model are analyzed and a set of operators (transformations) is proposed that allows for the automatic manipulation of both data and metadata at the same time.
Haralambos Papageorgiou +4 more
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Why estimands are needed to define treatment effects in clinical trials
BMC Medicine, 2023 Background The estimand for a clinical trial is a precise definition of the treatment effect to be estimated. Traditionally, estimates of treatment effects are based on either an ITT analysis or a per-protocol analysis.
Oliver N. Keene +4 more
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Observation-based correction of dynamical models using thermostats [PDF]
, 2017 Models used in simulation may give accurate short-term trajectories but distort long-term (statistical) properties. In this work, we augment a given approximate model with a control law (a ‘thermostat’) that gently perturbs the dynamical system to target
Leimkuhler, Benedict +6 more
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Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data
EntropyThis paper develops a penalized exponentially tilted (ET) likelihood to simultaneously estimate unknown parameters and select variables for growing dimensional models with missing response at random.
Xiaoming Sha +2 more
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Establishing statistical foundations early : data modeling with young learners [PDF]
, 2014 This paper addresses research from a three-year longitudinal study that engaged children in data modeling experiences from the beginning school year through to third year (6-8 years). A data modeling approach to statistical development differs in several
English, Lyn D.
core
The effects of clinical and statistical heterogeneity on the predictive values of results from meta-analyses [PDF]
, 2014 Variance between studies in a meta-analysis will exist. This heterogeneity may be of clinical, methodological or statistical origin. The last of these is quantified by the I(2) -statistic. We investigated, using simulated studies, the accuracy of I(2) in
Bootsma, M.C. +11 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
Analysis and achievement for fractional optimal control of Hepatitis B with Caputo operator
Alexandria Engineering Journal, 2023 Deciphering the effect of long memory on dynamic behavior is important for controlling disease transmission. Employing fractional order calculus, here, we propose a model with Caputo operator to emphasize the regulation effect of the long memory on the ...
Jingwen Zhang +3 more
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