On the basis of exploring the teaching requirements and changes of business management majors in application-oriented undergraduate colleges under the new situation, this paper analyzes many problems and their causes ...
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Federated learning(FL) solves the problem of "Data Silos" achieving the dual-purpose of data retention and remote sharing, which is widely applied in fields such as healthcare, transportation, and manufactur...
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ISBN:
(纸本)9798350375084;9798350375077
Federated learning(FL) solves the problem of "Data Silos" achieving the dual-purpose of data retention and remote sharing, which is widely applied in fields such as healthcare, transportation, and manufacturing. Local participants (LPs) are the main entities in FL, contributing resources such as data, computing, communication, and energy. The actual contribution of LPs directly affects the performance of federated learning. Existing research has mostly focused on how to design efficient algorithms for LPs, while neglecting the credibility of them. Obviously, highly trusty LPs will provide high-quality data sources and model medium parameters, which are the core factors affecting the performance of FL. This paper designs a new mechanism based on the joining protocol to verify the legitimacy of LPs, and combines subjective logical models to evaluate the reputation of participants. It solves the credibility evaluation and screening problems of participants, as well as the fairness of rewards.
Leaf diseases are growing to be a concerning threat which impacts both the biological conditions and economic conditions of human beings. The poor cultivation would result in world hunger as well as increase in cost o...
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In the last few years, there has been remarkable progress in the domain of natural language generation & understanding. This has led to the development of enhanced text generation capability of machines that can g...
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This paper presents a study on the effectiveness of digital materials developed using finite element technique (FET) in promoting problem-based learning (PBL) teaching and improving the quality of classroom teaching i...
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A stroke is a health condition that occurs when there is an interruption in the normal blood flow to the brain. Brain cells eventually die due to the lack of blood supply. As per the WHO, it ranks as the fundamental c...
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This study presents an effective analysis of a hybrid transfer learning algorithm in medical image processing, specifically focusing on histopathological cancer detection. The research involves a two-part approach. Fi...
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Vocational training plays a crucial role in supporting the achievement of the United Nations Sustainable Development Goals (SDGs), outlined explicitly in SDG Targets 4.3, 4.4, and 4.5. However, there is a lack of comp...
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Scalable Multi-Agent Reinforcement learning (MARL) architectures for cloud-based facts centres are a developing fashion in cloud computing environments. MARL architectures use an allotted set of marketers (e.g., softw...
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Addressing the current pressing issue of managing unwanted and potentially hazardous email communications, this study focuses on the Ling spam dataset to effectively categorize spam emails. To address the dataset'...
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