1 day ago · Our analysis provides a tight and quantitative analysis ... gradient inversion methods with the proposed attacking method, our method outperforms previous methods ...

3 days ago · PDF | We consider a variant of the stochastic gradient descent (SGD) with a random learning rate and reveal its convergence properties. SGD is a widely.

6 days ago · 3) We show how scale provides a regularizing effect on the directional complexity of trajectories, and also find an interesting observation about Q,K,V ...

3 days ago · Many optimization problems are inherently multi-objective. To address them, we formalize Jacobian descent (JD), a direct generalization of gradient descent ...

4 days ago · A formal privacy analysis demonstrates that FedLAP-DP incurs the same privacy costs as typical gradient-sharing schemes while achieving an im- proved trade-off ...

2 days ago · Based on the BPNN algorithm, a rapid prediction model for the degradation performance of high-temperature gas turbine blades is constructed in this study.

2 days ago · In Figure 3c, we show the results obtained using normalized ghost imaging (NGI), where random speckle patterns are used as illumination modes, gradient descent ...

5 days ago · Inverse-Free Fast Natural Gradient Descent Method ... COBRA -- COnfidence score Based on shape Regression Analysis for method-independent quality assessment of ...

3 days ago · The places where the error is small, that algorithm is called gradient descent. ... Batch method: Batch tracking algorithms use information from future ...

4 days ago · This study investigated the training and testing accuracy by adjusting the learning rate (using the Adam optimizer) and the batch size for model training.