Yiming Miao,Yixue Hao,Min Chen et al.
Yiming Miao et al.
Task caching, based on edge cloud, aims to meet the latency requirements of computation-intensive and data-intensive tasks (such as augmented reality). However, current task caching strategies are generally based on the unrealistic assumpti...
Contact Adaption During Epidemics: A Multilayer Network Formulation Approach [0.03%]
流行期间的接触适应性:多层网络方法
Faryad Darabi Sahneh,Aram Vajdi,Joshua Melander et al.
Faryad Darabi Sahneh et al.
People change their physical contacts as a preventive response to infectious disease propagations. Yet, only a few mathematical models consider the coupled dynamics of the disease propagation and the contact adaptation process. This paper p...
Megan Morrison,J Nathan Kutz
Megan Morrison
We develop a principled mathematical framework for controlling nonlinear, networked dynamical systems. Our method integrates dimensionality reduction, bifurcation theory, and emerging model discovery tools to find low-dimensional subspaces ...
Efficient Privacy-preserving Machine Learning in Hierarchical Distributed System [0.03%]
层次分布式系统的高效隐私保护机器学习算法研究
Qi Jia,Linke Guo,Yuguang Fang et al.
Qi Jia et al.
With the dramatic growth of data in both amount and scale, distributed machine learning has become an important tool for the massive data to finish the tasks as prediction, classification, etc. However, due to the practical physical constra...
Reprogramming multistable monotone systems with application to cell fate control [0.03%]
重编程多稳态单调系统的多重稳定性及在控制细胞命运中的应用
Rushina Shah,Domitilla Del Vecchio
Rushina Shah
Multistability is a key property of dynamical systems modeling cellular regulatory networks implicated in cell fate decisions, where, different stable steady states usually represent distinct cell phenotypes. Monotone network motifs are hig...
Andras Gyorgy,Murat Arcak
Andras Gyorgy
Two of the most common pattern formation mechanisms are Turing-patterning in reaction-diffusion systems and lateral inhibition of neighboring cells. In this paper, we introduce a broad dynamical model of interconnected modules to study the ...
Clustering network layers with the strata multilayer stochastic block model [0.03%]
具有strata多层随机块模型的网络层聚类
Natalie Stanley,Saray Shai,Dane Taylor et al.
Natalie Stanley et al.
Multilayer networks are a useful data structure for simultaneously capturing multiple types of relationships between a set of nodes. In such networks, each relational definition gives rise to a layer. While each layer provides its own set o...