Results 41 to 50 of about 9,833,490 (279)
BART-FL: A Backdoor Attack-Resilient Federated Aggregation Technique for Cross-Silo Applications
IEEE Transactions on Machine Learning in Communications and NetworkingFederated Learning (FL) is a decentralized learning method that enables collaborative model training while preserving data privacy. This makes FL a promising solution in various applications, particularly in cross-silo settings such as healthcare ...
Md Jueal Mia, M. Hadi Amini
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Physica A: Statistical Mechanics and its Applications, 2020 Recent research trends in network science have shifted from the analysis of single-layer networks to that of multilayer networks. Two popular multilayer network models exist: interdependent networks and multiplex networks.
Yui Kazawa, Sho Tsugawa
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Interdependent Causal Networks for Root Cause Localization
Knowledge Discovery and Data Mining, 2023 The goal of root cause analysis is to identify the underlying causes of system problems by discovering and analyzing the causal structure from system monitoring data. It is indispensable for maintaining the stability and robustness of large-scale complex
Dong-Jie Wang +6 more
semanticscholar +1 more source
Tri-level Interdiction Model for Enhancing Interdependent Network Resilience [PDF]
, 2021 Network-based systems widely appear in different service, community, industrial, and economic systems such as electric power, water supply, transportation, and telecommunication networks.
Ghorbani Renani, Nafiseh
core
A Secure Object Detection Technique for Intelligent Transportation Systems
IEEE Open Journal of Intelligent Transportation SystemsFederated Learning is a decentralized machine learning technique that creates a global model by aggregating local models from multiple edge devices without a need to access the local data.
Jueal Mia, M. Hadi Amini
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New Journal of Physics, 2015 Interdependent networks in areas ranging from infrastructure to economics are ubiquitous in our society, and the study of their cascading behaviors using percolation theory has attracted much attention in recent years.
Ling Feng +2 more
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Research on the Robustness of Interdependent Networks under Localized Attack
Applied Sciences, 2017 Critical infrastructures (CI) are the cornerstone of modern society, and they are connected with each other through material, energy, or information.
Junde Wang +4 more
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Applied Sciences, 2022 As the core link of the air traffic control system, the evaluation and management of controllers’ workload are of great significance for the rapid development of China’s civil aviation industry and aviation safety.
Yuming Heng +3 more
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Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Fragility Induced by Interdependency of Complex Networks and Their Higher-Order Networks
Entropy, 2022 The higher-order structure of networks is a hot research topic in complex networks. It has received much attention because it is closely related to the functionality of networks, such as network transportation and propagation.
Chengjun Zhang +7 more
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