Results 21 to 30 of about 9,833,490 (279)
Leveraging asynchronous federated learning to predict customers financial distress
Intelligent Systems with Applications, 2022 In recent years, as economic stability is shaking, and the unemployment rate is growing high due to the COVID-19 effect, assigning credit scoring by predicting consumers’ financial conditions has become more crucial. The conventional machine learning (ML)
Ahmed Imteaj, M. Hadi Amini
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Online Failure Diagnosis in Interdependent Networks [PDF]
, 2021 Motivation. In interdependent networks, nodes are connected to each other with respect to their failure dependency relations. As a result of this dependency, a failure in one of the nodes of one of the networks within a system of several interdependent ...
Akbari, Vahid, Shiri, Davood
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Frontiers in Communications and Networks, 2021 Federated Learning (FL) is a recently invented distributed machine learning technique that allows available network clients to perform model training at the edge, rather than sharing it with a centralized server.
Ahmed Imteaj +3 more
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Crash dynamics of interdependent networks. [PDF]
Sci Rep, 2019 The emergence and evolution of real-world systems have been extensively studied in the last few years. However, equally important phenomena are related to the dynamics of systems’ collapse, which has been less explored, especially when they can be cast ...
Li J, Xia C, Xiao G, Moreno Y.
europepmc +2 more sources
Catastrophic cascade of failures in interdependent networks [PDF]
Nature, 2009 Complex networks have been studied intensively for a decade, but research still focuses on the limited case of a single, non-interacting network. Modern systems are coupled together and therefore should be modelled as interdependent networks.
S. Havlin +6 more
semanticscholar +1 more source
Multivariate recovery coupling in interdependent networks with cascading failure.
Chaos, 2023 Interdependent networks are susceptible to catastrophic consequences due to the interdependence between the interacting subnetworks, making an effective recovery measure particularly crucial. Empirical evidence indicates that repairing the failed network
Jie Li +5 more
semanticscholar +1 more source
The Robustness of Interdependent Directed Networks With Intra-layer Angular Correlations
Frontiers in Physics, 2021 The robustness of interdependent networks is a frontier topic in current network science. A line of studies has so far been investigated in the perspective of correlated structures on robustness, such as degree correlations and geometric correlations in ...
Zongning Wu, Zengru Di, Ying Fan
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Optimization of robustness of interdependent network controllability by redundant design. [PDF]
PLoS ONE, 2018 Controllability of complex networks has been a hot topic in recent years. Real networks regarded as interdependent networks are always coupled together by multiple networks.
Zenghu Zhang +3 more
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Percolation of interdependent networks with limited knowledge.
Physical Review E, 2022 Real-world networks are often not isolated and the interdependence between different networks in a complex system is as important as the topological connectivity within individual networks.
Y. Shang
semanticscholar +1 more source
Interdependent network reciprocity in evolutionary games [PDF]
, 2013 Besides the structure of interactions within networks, also the interactions between networks are of the outmost importance. We therefore study the outcome of the public goods game on two interdependent networks that are connected by means of a utility
Perz, M +3 more
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