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Training time minimization for federated edge learning with optimized gradient quantization and bandwidth Research Article

Peixi LIU, Jiamo JIANG, Guangxu ZHU, Lei CHENG, Wei JIANG, Wu LUO, Ying DU, Zhiqin WANG,jiangjiamo@caict.ac.cn,gxzhu@sribd.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1247-1263 doi: 10.1631/FITEE.2100538

Abstract: In particular, a stochastic quantization scheme is adopted for compression of uploaded gradients, whichConstrained by the total bandwidth, the problem is formulated as a joint quantization level and bandwidthallocation optimization problem.To this end, an algorithm based on alternating optimization is proposed, which alternatively solves thelearning tasks and models, the validation of our analysis and the near-optimal performance of the proposed optimization

Keywords： Federated edge learning     Quantization optimization     Bandwith allocation     Training time minimization    

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Vector quantization: a review Regular Papers

Ze-bin WU, Jun-qing YU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4,   Pages 507-524 doi: 10.1631/FITEE.1700833

Abstract:

Vector quantization (VQ) is a very effective way to save bandwidth and storage for speech coding andTraditional vector quantization methods can be divided into mainly seven types, tree-structured VQ, directOver the past decade, quantization-based approximate nearest neighbor (ANN) search has been developingSo, finding a vector quantization method that can strike a balance between speed and accuracy and consume

Keywords： Approximate nearest neighbor search     Image coding     Vector quantization    

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Reduced torque ripple for rotational load with high inertia of HY-2A satellite

Zhou Yong,Li Zhengjun,Ma Chao and Wang Xiaoning

Strategic Study of CAE 2014, Volume 16, Issue 3,   Pages 43-49

Abstract: Restraining cogging torque of motor， eliminating quantization error with fix angle timing，compensating

Keywords： high inertia     torque ripple     quantization error     dead time     accurate model    

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Side-channel attacks and learning-vector quantization Article

Ehsan SAEEDI, Yinan KONG, Md. Selim HOSSAIN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 511-518 doi: 10.1631/FITEE.1500460

Abstract: , to explore the efficiency of side-channel information characterization based on a learning vector quantization

Keywords： Side-channel attacks     Elliptic curve cryptography     Multi-class classification     Learning vector quantization    

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Synergistic optimization framework for the process synthesis and design of biorefineries

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 251-273 doi: 10.1007/s11705-021-2071-9

Abstract: We propose a novel framework incorporating superstructure optimization and simulation-based optimizationIn this context, several approaches for superstructure optimization based on different surrogate modelsThe results indicate that even though surrogate-based optimization approaches alleviate the underlyingFurthermore, the framework’s synergistic effects by sequentially performing superstructure optimizationThese findings invite for a critical assessment of surrogate-based optimization approaches and point

Keywords： biotechnology     surrogate modelling     superstructure optimization     simulation-based optimization     process    

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Recent advances in system reliability optimization driven by importance measures

Shubin SI, Jiangbin ZHAO, Zhiqiang CAI, Hongyan DUI

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 335-358 doi: 10.1007/s42524-020-0112-6

Abstract: System reliability optimization problems have been widely discussed to maximize system reliability withThe rules for simple optimization problems are summarized to enhance system reliability by using rankingThe importance-based optimization algorithms for complex or large-scale systems are generalized to obtainFurthermore, a general framework driven by IM is developed to solve optimization problems.Finally, some challenges in system reliability optimization that need to be solved in the future are

Keywords： importance measure     system performance     reliability optimization     optimization rules     optimization algorithms    

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Frontiers of Engineering Management   Pages 499-516 doi: 10.1007/s42524-022-0221-5

Abstract: Then, a time–space network optimization model is built, and its corresponding solution algorithm is presented

Keywords： online supermarkets     split-order consolidation     time–space network     genetic algorithm    

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Design and optimization of reactive distillation: a review

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 799-818 doi: 10.1007/s11705-021-2128-9

Abstract: To overcome this problem, the design and optimization of reactive distillation have been widely studiedThese design and optimization methods of the reactive distillation process are classified into threecategories: graphical, optimization-based, and evolutionary/heuristic methods.The primary objective of this article is to provide an up-to-date review of the existing design and optimizationPerspectives on future research on the design and optimization of reactive distillation method are proposed

Keywords： reactive distillation     process intensification     design method     reactive phase diagram     optimization algorithm    

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Review on the design and optimization of hydrogen liquefaction processes

Liang YIN, Yonglin JU

Frontiers in Energy 2020, Volume 14, Issue 3,   Pages 530-544 doi: 10.1007/s11708-019-0657-4

Abstract: In this paper, the detailed progress of design and optimization for hydrogen liquefaction in recent yearsFinally, several future improvements for hydrogen liquefaction process design and optimization are proposed

Keywords： hydrogen liquefaction     energy consumption     efficiency     optimization    

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Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: In this paper, the seismic design optimization of spatial steel dome structures is achieved through threerecent metaheuristic algorithms that are water strider (WS), grey wolf (GW), and brain storm optimizationdesign results obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization

Keywords： steel dome optimization     water strider algorithm     grey wolf algorithm     brain storm optimization algorithm     hyperband optimization algorithm    

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Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4,   Pages 392-404 doi: 10.1007/s11465-015-0353-y

Abstract: and scheduling, real world problems cannot be fully captured considering only a single objective for optimizationIn this paper, an optimization algorithm for solving MOIPPS problem is presented.

Keywords： integrated process planning and scheduling (IPPS)     dispatching rules     priority based optimization algorithm     multi-objective optimization    

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Footholds optimization for legged robots walking on complex terrain

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0742-y

Abstract: This paper proposes a novel continuous footholds optimization method for legged robots to expand theirThen, it constructs an optimization function combined with the robot’s state information to select thediscrete enumeration search, as far as we know, the proposed algorithm is the first to use a continuous optimization

Keywords： footholds optimization     legged robot     complex terrain adapting     hexapod robot     locomotion control    

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QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 25-36 doi: 10.1007/s11709-022-0908-z

Abstract: improved loss function-based artificial neural network (ILF-ANN) combined with quantum particle swarm optimization

Keywords： tunnel boring machine     control parameter optimization     quantum particle swarm optimization     artificial    

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Reliability-based robust design optimization of vehicle components, Part I: Theory

Yimin ZHANG

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2,   Pages 138-144 doi: 10.1007/s11465-015-0333-2

Abstract:

The reliability-based design optimization, the reliability sensitivity analysis and robust designmethod are employed to present a practical and effective approach for reliability-based robust design optimizationA procedure for reliability-based robust design optimization of vehicle components is proposed.Application of the method is illustrated by reliability-based robust design optimization of axle andresults have shown that the proposed method can be trusted to perform reliability-based robust design optimization

Keywords： vehicle components     reliability-based design optimization     reliability-based sensitivity analysis     multi-objectiveoptimization     robust design    

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Discussion on the System Optimization of the Energy Development Strategy and Plan

Da-di Zhou

Frontiers of Engineering Management 2014, Volume 1, Issue 2,   Pages 147-152 doi: 10.15302/J-FEM-2014022

Abstract: interactive relationship with economic and social development, and the enormous investment involved, the optimization

Keywords： energy development strategy     planning system     system optimization    

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Title Author Date Type Operation

Training time minimization for federated edge learning with optimized gradient quantization and bandwidth

Peixi LIU, Jiamo JIANG, Guangxu ZHU, Lei CHENG, Wei JIANG, Wu LUO, Ying DU, Zhiqin WANG,jiangjiamo@caict.ac.cn,gxzhu@sribd.cn

Journal Article

Vector quantization: a review

Ze-bin WU, Jun-qing YU

Journal Article

Reduced torque ripple for rotational load with high inertia of HY-2A satellite

Zhou Yong,Li Zhengjun,Ma Chao and Wang Xiaoning

Journal Article

Side-channel attacks and learning-vector quantization

Ehsan SAEEDI, Yinan KONG, Md. Selim HOSSAIN

Journal Article

Synergistic optimization framework for the process synthesis and design of biorefineries

Journal Article

Recent advances in system reliability optimization driven by importance measures

Shubin SI, Jiangbin ZHAO, Zhiqiang CAI, Hongyan DUI

Journal Article

Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Journal Article

Design and optimization of reactive distillation: a review

Journal Article

Review on the design and optimization of hydrogen liquefaction processes

Liang YIN, Yonglin JU

Journal Article

Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Journal Article

Optimization of multi-objective integrated process planning and scheduling problem using a priority basedoptimization algorithm

Muhammad Farhan AUSAF,Liang GAO,Xinyu LI

Journal Article

Footholds optimization for legged robots walking on complex terrain

Journal Article

QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Journal Article

Reliability-based robust design optimization of vehicle components, Part I: Theory

Yimin ZHANG

Journal Article

Discussion on the System Optimization of the Energy Development Strategy and Plan

Da-di Zhou

Journal Article