Federated learning optimization algorithm based on incentive mechanism by Youliang TIAN, Shihong WU, Ta LI, Lindong WANG, Hua ZHOU

“…Federated learning optimization algorithm based on incentive mechanism was proposed to address the issues of multiple iterations, long training time and low efficiency in the training process of federated learning.Firstly, the reputation value related to time and model loss was designed.Based on the reputation value, an incentive mechanism was designed to encourage clients with high-quality data to join the training.Secondly, the auction mechanism was designed based on the auction theory.By auctioning local training tasks to the fog node, the client entrusted the high-performance fog node to train local data, so as to improve the efficiency of local training and solve the problem of performance imbalance between clients.Finally, the global gradient aggregation strategy was designed to increase the weight of high-precision local gradient in the global gradient and eliminate malicious clients, so as to reduce the number of model training.…”
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The Optimal Licensing Contract in a Differentiated Stackelberg Model by Xianpei Hong, Lijun Yang, Huaige Zhang, Dan Zhao

“…Thirdly, the innovator always prefers to license its nondrastic innovation by means of a two-part tariff instead of licensing by means of a royalty; however, with a drastic innovation, the optimal licensing strategy can be either a two-part tariff or a royalty, depending upon the differentiation of the goods.…”
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A direct slicing method for optimized lattice structures by Foucault Gilles, Vignat Frederic, Doutre Pierre-Thomas

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Optimization and application of the carrier DNS data analysis technology by Wei PENG, Xiaodong HE, Xiaoming LU, Chuanxin JI

“…The principles of DNS data analysis and the limitations of traditional DNS data analysis method were analyzed.According to the trend of the development of the IP network,an analysis technology based on the Hadoop towards huge amounts of DNS data was proposed.Also the architecture,implementation scheme and advantages of the technology scheme were described,then the effect of Hadoop DNS data analysis which applied in the telecom network was expounded.The research results can provide scientific reference for the development and optimization of the telecom network.…”
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Application and Development of Enhanced Chaotic Grasshopper Optimization Algorithms by Akash Saxena, Shalini Shekhawat, Rajesh Kumar

“…The ability of the algorithm to solve a difficult optimization problem depends upon the efficacy of these two phases. …”
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Optimization Study of Photovoltaic Cell Arrangement Strategies in Greenhouses by Yuzhe Qin, Qing Cheng

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Global Optimization for Bus Line Timetable Setting Problem by Qun Chen

“…A numerical example about bus runs assignment optimization of a single line is given to demonstrate the efficiency of the proposed methodology, showing that optimizing buses’ departure time using dynamic programming can save computational time and find the global optimal solution.…”
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Proper Orthogonal Decomposition as Surrogate Model for Aerodynamic Optimization by Valentina Dolci, Renzo Arina

“…In the last case, the aerodynamic optimization of an automotive shape is considered. The results demonstrate how a reduced-order model based on the proper orthogonal decomposition applied to a small number of high-fidelity solutions can be used to generate aerodynamic data with good accuracy at a low cost.…”
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Distributed cooperative spectrum sensing based on consensus optimization by ZENG Fan-zi, LIU Jie, LI Ren-fa, ZENG Qing-guang

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Sports physiotherapy – Actions to optimize the health of Para athletes by K Fagher, M Badenhorst, P Van de Vliet

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Optimization Design of Drivetrain of FSAE Racing based on ANSYS by Wang Yanshu

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Portfolio Optimization and Random Matrix Theory in Stock Exchange by mostafa heidari haratemeh

Subjects: “…portfolio optimization…”
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Multi-objective Optimization Design of Wet Friction Clutches by Jiang Kai, Li Hua, Chen Si, Li Shilei, Ren Rongzhi

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Pricing Resources in LTE Networks through Multiobjective Optimization by Yung-Liang Lai, Jehn-Ruey Jiang

“…The problem is modelled as nonlinear multiobjective optimization with two optimal objectives: (1) maximizing operator profit and (2) maximizing user satisfaction. …”
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On Binary Optimal Control in $H^s(0,T)$, $s < 1/2$ by Manns, Paul, Surowiec, Thomas M.

“…The function space $H^s(0,T)$, $s < 1/2$, allows for functions with jump discontinuities and is thus attractive for treating optimal control problems with discrete-valued control functions. …”
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Performance analysis and optimization of cooperative spectrum sensing with relay by Mei-ling LI

“…An object based cooperative spectrum sensing scheme with relay was proposed,and the fact that the channel condition from SU to SR has an important influence to system performance was proved.In view of this,an optimized cooperative spectrum sensing scheme with best relay(optimized BRCSS) was proposed,in which the best secondary relay was selected by considering both the channel condition from SU to SR and SR to FC.Finally,an adaptive cooperative spectrum sensing scheme with best relay (A-BRCSS) was proposed further to save the system expense considering more practical application occasion,where,SU could adaptively decide whether the relay’s cooperation was needed by its reporting channel condition.Both analysis and simulation results show that,the better sensing performance can be achieved by the optimized BRCSS scheme compared with the tradit l cooperative spectrum sensing scheme with best relay.The nearly best sensing performance can be obtained by the proposed A-BRCSS scheme.…”
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Optimal Design of the Leg-wheel Crossing Obstacle Mechanism by Wang Zhou, Zhou Wei

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Projection Analysis Optimization for Human Transition Motion Estimation by Wanyi Li, Feifei Zhang, Qiang Chen, Qian Zhang

“…LSOPA is carried out under the assistance of Gaussian process dynamical models (GPDM); it builds the object function to optimize the data in the low dimensional (LD) space, and the optimized data in LD space will be obtained to generate the human transition motion. …”
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Hybrid optimization of EDLP and high-low pricing strategies by Hamed Karimi

“…This paper introduces a hybrid optimization model that strategically combines Everyday Low Pricing (EDLP) and High-Low Pricing (HL) strategies, designed to address the intricacies of dynamic retail markets. …”
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Task-dependent Optimal Weight Combinations for Static Embeddings by Nathaniel Robinson, Nathaniel Carlson, David Mortensen, Elizabeth Vargas, Thomas Fackrell, Nancy Fulda

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