منابع مشابه
Differentially Private Bayesian Optimization
Bayesian optimization is a powerful tool for finetuning the hyper-parameters of a wide variety of machine learning models. The success of machine learning has led practitioners in diverse real-world settings to learn classifiers for practical problems. As machine learning becomes commonplace, Bayesian optimization becomes an attractive method for practitioners to automate the process of classif...
متن کاملCasual virtual private network
Virtual Private Networks (VPNs) [1] allow individuals and business to create and maintain secure communication channels between their own local networks using public and insecure networks, like Internet, instead of private and leased lines. The main purpose of a VPN is to securely and transparently connect two or more remote networks to form virtually a single network. Network architectures def...
متن کاملNetwork Optimization with Concave Costs
In this paper the problem of minimum cost communication network design is considered where the costs are piecewise linear concave. Several methods are compared: Simulated Annealing method, a heuristic based on the method proposed by Minoux, and a lagrangian method based on lower bounding procedure.
متن کاملNetwork Optimization with Concave Costs
In this paper the problem of minimum cost communication network design is considered where the costs are piecewise linear concave. Several methods are compared: Simulated Annealing method, a heuristic based on the method proposed by Minoux, and a lagrangian method based on lower bounding procedure.
متن کاملPrivate Collaborative Neural Network Learning
Machine learning algorithms, such as neural networks, create better predictive models when having access to larger datasets. In many domains, such as medicine and finance, each institute has only access to limited amounts of data, and creating larger datasets typically requires collaboration. However, there are privacy related constraints on these collaborations for legal, ethical, and competit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Multidiszciplináris tudományok
سال: 2021
ISSN: 2062-9737
DOI: 10.35925/j.multi.2021.4.29