A Novel Approach for Differential Privacy-Preserving Federated Learning by Anis Elgabli, Wessam Mesbah

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Stability of Back Propagation Training Algorithm for Neural Networks by Baghdad Science Journal

Subjects: “…" BP training algorithm , Ann , Gradient Descent Training Algorithm , Gradient Descent with Momentum and Lyapunov Stability ."…”
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Variable-Parameter Impedance Control of Manipulator Based on RBFNN and Gradient Descent by Linshen Li, Fan Wang, Huilin Tang, Yanbing Liang

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Tight analyses for subgradient descent I: Lower bounds by Harvey, Nicholas J. A., Liaw, Chris, Randhawa, Sikander

Subjects: “…Gradient descent…”
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A Novel Sine Step Size for Warm-Restart Stochastic Gradient Descent by Mahsa Soheil Shamaee, Sajad Fathi Hafshejani

Subjects: “…stochastic gradient descent…”
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Optimization and Application of Fuzzy Neural Network by LI Hao-nan, LIU Yong

Subjects: “…gradient descent…”
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Solving Spatial Optimization Problems via Lagrangian Relaxation and Automatic Gradient Computation by Zhen Lei, Ting L. Lei

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The Generalization Error Bound for A Stochastic Gradient Descent Family bia A Gaussian Approximation Method by Chen Hao, Mo Zhanfeng, Yang Zhouwang

Subjects: “…stochastic gradient descent…”
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Gradient descent Sarsa(?)algorithm based on the adaptive potential function shaping reward mechanism by Fei XIAO, Quan LIU, Qi-ming FU, Hong-kun SUN, Long GAO

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A Hierarchical Inverse Lithography Method Considering the Optimization and Manufacturability Limit by Gradient Descent by Haifeng Sun, Qingyan Zhang, Jie Zhou, Jianwen Gong, Chuan Jin, Ji Zhou, Junbo Liu

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Enhancing temporal learning in recurrent spiking networks for neuromorphic applications by Ismael Balafrej, Soufiyan Bahadi, Jean Rouat, Fabien Alibart

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Design of hybridly-connected hybrid precoding in millimeter-wave massive MIMO system by Hongyu ZHAO, Hongyan YAO

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Bandlimited Frequency-Constrained Iterative Methods by Harrison Garrett, David G. Long

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GRADIENT DESCENT METHOD AND PARAMETER SELECTION FOR IMAGE RESTORATION PROBLEM by Nguyen Dinh Dung

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Long Short Term Memory Using Stochastic Gradient Descent and Adam for Stock Prediction by Muhammad Athanabil Andi Fawazdhia, Zani Anjani Rafsanjani HSM

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Convergence Rates of Gradient Methods for Convex Optimization in the Space of Measures by Chizat, Lénaïc

Subjects: “…Gradient Descent…”
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Explicit Model for Chiller Fault Diagnosis Based on Multi-objective Regression with Different Weights by Wu Kongrui, Han Hua, Yang Yuting, Lu Hailong, Ling Minbin

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Stochastic Gradient Descent for Kernel-Based Maximum Correntropy Criterion by Tiankai Li, Baobin Wang, Chaoquan Peng, Hong Yin

Subjects: “…stochastic gradient descent…”
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Exploring the future of privacy-preserving heart disease prediction: a fully homomorphic encryption-driven logistic regression approach by Vankamamidi S. Naresh, Sivaranjani Reddi

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Application of a novel metaheuristic algorithm inspired by Adam gradient descent in distributed permutation flow shop scheduling problem and continuous engineering problems by Yiqiang Xia, Yanzhe Ji

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