Acetabulum
发表于 2025-3-25 05:16:51
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乱砍
发表于 2025-3-25 10:22:42
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钳子
发表于 2025-3-25 15:07:50
DOE: Screening Using Fractional Factorialsmportant user/item interactions for message passing. Based on the MovieLens-100K, the effectiveness of IGAT-MC is verified based on the evaluation of RMSE. By comparing with several mainstream methods, IGAT-MC surpasses some of the mainstream methods and shows competitive performance.
平息
发表于 2025-3-25 19:45:05
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wreathe
发表于 2025-3-25 21:00:41
Improve Entrepreneurial Quality,is, FedDFA is introduced, which calculates the aggregation weights based on the number of images and that of drivers on each client for better parameter aggregation during federated learning. Extensive experiments are conducted and experimental results show that FedDFA achieves satisfactory performance.
一致性
发表于 2025-3-26 00:45:22
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补角
发表于 2025-3-26 05:03:40
A Secured Deep Reinforcement Learning Model Based on Vertical Federated Learningning in a distributed fashion. Extensive experiments are carried out to testify the robustness of VF-DRL. The results show that the VF-DRL achieves the state-of-the-art defensibility compared with base-lines.
Multiple
发表于 2025-3-26 11:45:52
Big Data and Social Computing978-981-19-7532-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
conceal
发表于 2025-3-26 15:11:07
https://doi.org/10.1007/978-981-19-7532-5artificial intelligence; communication systems; computer networks; computer security; computer vision; cr
grotto
发表于 2025-3-26 19:39:36
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