频率
发表于 2025-3-21 19:26:12
书目名称Blockchain and Trustworthy Systems影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0189233<br><br> <br><br>书目名称Blockchain and Trustworthy Systems影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0189233<br><br> <br><br>书目名称Blockchain and Trustworthy Systems网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0189233<br><br> <br><br>书目名称Blockchain and Trustworthy Systems网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0189233<br><br> <br><br>书目名称Blockchain and Trustworthy Systems被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0189233<br><br> <br><br>书目名称Blockchain and Trustworthy Systems被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0189233<br><br> <br><br>书目名称Blockchain and Trustworthy Systems年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0189233<br><br> <br><br>书目名称Blockchain and Trustworthy Systems年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0189233<br><br> <br><br>书目名称Blockchain and Trustworthy Systems读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0189233<br><br> <br><br>书目名称Blockchain and Trustworthy Systems读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0189233<br><br> <br><br>
柔声地说
发表于 2025-3-21 20:43:57
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熄灭
发表于 2025-3-22 01:35:09
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PAC
发表于 2025-3-22 07:56:13
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兽群
发表于 2025-3-22 11:46:45
Jörn Peter Hiekel,Christian Utzices from being selected. For the second phase, we devise a participant-selection algorithm that enables the FL server to select the appropriate group of devices for each round of FL-training. We believe that our study can shed new light on the joint research of blockchain and federated learning.
克制
发表于 2025-3-22 16:54:52
Jörn Peter Hiekel,Christian Utz, we carefully designed a trading contract to ensure a fair and transparent trading process. In addition, we build a matching score calculation algorithm, according to which PSM. can determine the price for purchasing someone’s contact information. Finally, we develop a proof of concept prototype on
Parameter
发表于 2025-3-22 18:33:40
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FLIC
发表于 2025-3-22 23:22:21
Felix Wörner,Melanie Wald-Fuhrmannastly, based on the analysis of the Ether flow of the phishing scam cycle, we propose an improved Graph2Vec, and make classification prediction on the subgraphs we built. The experimental results show that our framework has achieved a great competitiveness in the final classification task, which als
Ordnance
发表于 2025-3-23 01:48:27
Felix Wörner,Melanie Wald-Fuhrmanne 0.98, 0.93 and 0.95 respectively by experiments. Smart Ponzi schemes hidden on Ethereum are detected effectively by the model. More importantly, the performance of model is guaranteed at any moment in the lifecycle, even at the birth of a smart Ponzi scheme.
Enthralling
发表于 2025-3-23 08:54:17
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