34 Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu, Zikai Zhang, Rui Hu 2024-11-02 arXiv:2411.01040, 2024 https://github.com/JiiahaoXU/MASA http://arxiv.org/abs/2411.01040v1 3
65 Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu, Zikai Zhang, Rui Hu 2025 arXiv https://github.com/JiiahaoXU/MASA https://doi.org/10.48550/arXiv.2411.01040 66 Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modal...
因此没有定义输入形状ENMapx中基本的图层操作还是比较简单的，集中在对Layers和Layer的处理上，对别的没...
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Figure 2b demonstrates the application of a fivefold cross- validation method to validate model generalizability. To establish the connection between braiding machine and structure parameters, a feed-forward back-propagation network was implemented in MATLAB, Fig. 2c. Two Fig. 1. Schematic ...
S. (2022). Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM. Engineering Structures, 255, 113903. https://doi.org/10.1016/J.ENGSTRUCT.2022.113903 Article Google Scholar Xu, C., Gordan, B., Koopialipoor,...
Code This branch is42 commits behindarcann-chem/arcann_training:main. README License About The Project ArcaNN proposes an automated enhanced sampling generation of training sets for chemically reactive machine learning interatomic potentials. In its current version, it aims to simplify and to automate...
65 Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu, Zikai Zhang, Rui Hu 2025 arXiv https://github.com/JiiahaoXU/MASA https://doi.org/10.48550/arXiv.2411.01040 66 Selective Aggregation for Low-Rank Adaptation in Federated Learning Pengxin Guo, Shuang Zeng, Yan...
development which ensures optimal efficiency by fine-tuning parameters such as learning rates and regularization strengths. It is noteworthy to mention that the hyperparameter optimization review often highlights its role in improving model robustness while addressing issues such as computational complexity ...
FaissAnnoyNMSLIB IVFFlatIVFPQHNSWAnnoyNSW Build indexDistance+++++ Build indexL2 squared norm++ Build indexMultiply-add+ Build indexFind minimum value++ Build indexHeap with buckets Build indexMinimax heap Build indexDistance to code Build indexMatrix transpose+ ...