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42nd IEEE International Conference on computer Communications, INFOCOM 2023

作者： Wang, Haozhao Xu, Wenchao Fan, Yunfeng Li, Ruixuan Zhou, Pan Huazhong University of Science and Technology School of Computer Science and Technology Wuhan China The Hong Kong Polytechnic University Department of Computing Hong Kong Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan China

ISBN: (纸本)9798350334142

Federated Learning enables collaboratively model training among a number of distributed devices with the coordination of a centralized server, where each device alternatively performs local gradient computation and communication to the server. FL suffers from significant performance degradation due to the excessive communication delay between the server and devices, especially when the network bandwidth of these devices is limited, which is common in edge environments. Existing methods overlap the gradient computation and communication to hide the communication latency to accelerate the FL training. However, the overlapping can also lead to an inevitable gap between the local model in each device and the global model in the server that seriously restricts the convergence rate of learning process. To address this problem, we propose a new overlapping method for FL, AOCC-FL, which aligns the local model with the global model via calibrated compensation such that the communication delay can be hidden without deteriorating the convergence performance. Theoretically, we prove that AOCC-FL admits the same convergence rate as the non-overlapping method. On both simulated and testbed experiments, we show that AOCC-FL achieves a comparable convergence rate relative to the non-overlapping method while outperforming the state-of-the-art overlapping methods. © 2023 IEEE.

关键词： Learning systems

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The Immense Impact of Reverse Edges on Large Hierarchical Networks

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Engineering 2024年第5期36卷 240-249页

作者： Haosen Cao Bin-Bin Hu Xiaoyu Mo Duxin Chen Jianxi Gao Ye Yuan Guanrong Chen Tamás Vicsek Xiaohong Guan Hai-Tao Zhang MOE Engineering Research Center of Autonomous Intelligent Unmanned Systems State Key Laboratory of Intelligent Manufacturing Equipment and TechnologySchool of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China School of Mechanical and Aerospace Engineering Nanyang Technological UniversitySingapore 639798Singapore Jiangsu Key Laboratory of Networked Collective Intelligence School of MathematicsSoutheast UniversityNanjing 210096China Department of Computer Science Rensselaer Polytechnic InstituteTroyNY 12180USA Department of Electronic Engineering City University of Hong KongHong Kong 999077China Department of Biological Physics Eötvös UniversityBudapest 1117Hungary MOE Key Laboratory for Intelligent Networks and Network Security School of Automation Science and EngineeringXi’an Jiaotong UniversityXi’an 710049China

Hierarchical networks are frequently encountered in animal groups,gene networks,and artificial engineering systems such as multiple robots,unmanned vehicle systems,smart grids,wind farm networks,and so *** structure of a large directed hierarchical network is often strongly influenced by reverse edges from lower-to higher-level nodes,such as lagging birds’howl in a flock or the opinions of lowerlevel individuals feeding back to higher-level ones in a social *** study reveals that,for most large-scale real hierarchical networks,the majority of the reverse edges do not affect the synchronization process of the entire network;the synchronization process is influenced only by a small part of these reverse edges along specific *** surprisingly,a single effective reverse edge can slow down the synchronization of a huge hierarchical network by over 60%.The effect of such edges depends not on the network size but only on the average in-degree of the involved *** overwhelming majority of active reverse edges turn out to have some kind of“bunching”effect on the information flows of hierarchical networks,which slows down synchronization *** finding refines the current understanding of the role of reverse edges in many natural,social,and engineering hierarchical networks,which might be beneficial for precisely tuning the synchronization rhythms of these *** study also proposes an effective way to attack a hierarchical network by adding a malicious reverse edge to it and provides some guidance for protecting a network by screening out the specific small proportion of vulnerable nodes.

关键词： Synchronizability Large hierarchical networks Reverse edges Information flows Complex networks

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Smart Cricket Ball: Solutions to Design and Deployment Challenges 6th

Smart Cricket Ball: Solutions to Design and Deployment Chall...

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6th International Conference on Innovative Computing and Communication, ICICC 2023

作者： Balbudhe, Pravin Sharma, Rika Solanki, Sachin Department of Computer Science and Engineering Amity School of Engineering and Technology Amity University Raipur Chhattisgarh Raipur India Directorate of Technical Education Government Polytechnic Campus Maharashtra Sadar Nagpur India

ISBN: (纸本)9789819940707

Cricket is the most played and accepted game in the Asian region of the world. In any game decision-making affecting the result plays a major role, which has to be accurate in every aspect to conclude the fair game. This matter is a live cricket match or even in training sessions. To date, decision-making was dependent on visual observation by the expert umpire. These manual observations of results may be inaccurate at some point and based on the experience and expertise of the umpire. With the rapid advancement and technological involvement in gaming industries, electronic gadgets are helping the player to enhance the performance and accuracy of results. This paper deals with the challenges and the possible solutions involved in designing and building a smart cricket ball, which will be capable to calculate and share the ball’s activity log. This log will involve the direction, speed, type, trajectory, spin, deviation angle, and impact triggers. It is difficult to get all information from a single type of sensor or module, this work suggests creating the fusion of multiple sensors and software algorithms for accurate measurements. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Decision making

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Achieving Distributed and Privacy-Preserving Cross-Chain Transactions in Account-Model Blockchain Systems

Achieving Distributed and Privacy-Preserving Cross-Chain Tra...

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2023 IEEE International Conference on Metaverse Computing, Networking and Applications, MetaCom 2023

作者： Zhang, Chuan Wang, Weijie Zhang, Weiting Nie, Jiangtian Liang, Jinwen Zhu, Liehuang Beijing Institute of Technology School of Cyberspace Science and Technology Beijing China Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies Guangdong China Beijing Institute of Technology School of Computer Science & Technology Beijing China Beijing Jiaotong University School of Electronic and Information Engineering Beijing China Nanyang Technological University School of Computer Science and Engineering Singapore Hong Kong Polytechnic University Department of Computing Hong Kong

ISBN: (纸本)9798350333336

Cross-Chain is an emerging technology to enable transaction circulation across different blockchain systems, breaking down transaction isolation among decentralized ecosystems. Existing cross-chain solutions are often constructed based on centralized trusted third parties, which introduce additional threats to users' identities due to potentially compromised risks on the centralized third parties. To exclude the single-point compromised risk in centralized systems, this paper focuses on a fully decentralized scenario and develops a distributed cross-chain transaction scheme, which enables cross-chain transaction exchanges while ensuring the unlinkability between payees and payers. Specifically, we first propose a cross-chain cryptocurrency exchange scheme by leveraging Ethereum's smart contracts, which achieves transaction exchanges in decentralized settings. Then, we leverage zero-knowledge succinct non-interactive argument of knowledge (i.e., zk-SNARKs) to explore a privacy-preserving method for cross-chain transactions in account-model blockchain systems, such that the unlinkability between payees and payers and the privacy of cross-chain participants can be guaranteed. Security analysis and experimental evaluations demonstrate that the proposed scheme achieves the security goal at acceptable costs. © 2023 IEEE.

关键词： Smart contract

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Design and construction of electronic transport layer based on organic small molecule for inverted perovskite solar cells

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Materials Research Bulletin 2025年 189卷

作者： Li, Qingbin Zhang, Cen Xue, Lingwei Wang, Binbin Lv, Yueyue Yan, Qingzhi School of Chemical and Environmental Engineering Pingdingshan University Henan Pingdingshan467000 China School of Materials Science and Engineering Henan Polytechnic University Henan Jiaozuo454000 China Institute of Nuclear Materials School of Materials Science and Engineering University of Science and Technology Beijing Beijing100083 China College of Material Science and Engineering Beijing University of Chemical Technology Beijing100029 China

An effective way to prepare efficient and stable organic electronic transport layer (ETL) to solve the problems such as interface charge recombination, electrons extraction and transport, and poor interface contact of perovskite solar cells (PSCs). Here, a small molecule, AQX-OCH2CF3, termed AQF, is designed, synthesized, and incorporated into [6,6]-Phenyl C61-butyric acid methyl ester (PCBM) as ETL for the fabrication of inverted PSCs. Multiple experimental tests confirm that AQF can effectively inhibit the charge recombination, optimize the electrons extraction and transport, and improve contact between ETL and perovskite layer. Consequently, the PSCs with PCBM: AQF as ETL attain a significant power conversion efficiency (PCE) of 18.61 %, accompanied by a small hysteresis effect. The devices retain >90 % of their initial PCEs after over 1000 h operating at maximum power point under one sun illumination in moist air atmosphere. This study provides a simple and effective method to improve efficiency and stability. © 2025 Elsevier Ltd

关键词： Perovskite solar cells

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Cross-modal representation flattening for multi-modal domain generalization 24

Cross-modal representation flattening for multi-modal domain...

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Proceedings of the 38th International Conference on Neural Information Processing Systems

作者： Yunfeng Fan Wenchao Xu Haohao Wang Song Guo Department of Computing The Hong Kong Polytechnic University School of Computer Science and Technology Huazhong University of Science and Technology Hong Kong University of Science and Technology

ISBN: (纸本)9798331314385

Multi-modal domain generalization (MMDG) requires that models trained on multimodal source domains can generalize to unseen target distributions with the same modality set. Sharpness-aware minimization (SAM) is an effective technique for traditional uni-modal domain generalization (DG), however, with limited improvement in MMDG. In this paper, we identify that modality competition and discrepant uni-modal flatness are two main factors that restrict multi-modal generalization. To overcome these challenges, we propose to construct consistent flat loss regions and enhance knowledge exploitation for each modality via cross-modal knowledge transfer. Firstly, we turn to the optimization on representation-space loss landscapes instead of traditional parameter space, which allows us to build connections between modalities directly. Then, we introduce a novel method to flatten the high-loss region between minima from different modalities by interpolating mixed multi-modal representations. We implement this method by distilling and optimizing generalizable interpolated representations and assigning distinct weights for each modality considering their divergent generalization capabilities. Extensive experiments are performed on two benchmark datasets, EPIC-Kitchens and Human-Animal-Cartoon (HAC), with various modality combinations, demonstrating the effectiveness of our method under multi-source and single-source settings. Our code is open-sourced https://***/fanyunfeng-bit/Cross-modal-Representation-Flattening-for-MMDG.

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Can Individuals be Repeatedly Selected for Mutation in Matrix-Based DE? A Comparative Study 11

Can Individuals be Repeatedly Selected for Mutation in Matri...

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11th International Conference on Machine Intelligence Theory and Applications, MiTA 2024

作者： Wei, Ling-Ling Sun, Bing Li, Jian-Yu Yang, Qiang Xu, Jing Tang, Fei-Yi South China Normal University School of Computer Science Guangzhou510631 China Nankai University College of Artificial Intelligence Tianjin300350 China Nanjing University of Information Science and Technology School of Artificial Intelligence Jiangsu China Guangzhou Panyu Polytechnic Pazhou Lab School of Information Engineering Guangdong China

ISBN: (纸本)9798350385670

Evolutionary Computation (EC) is a class of algorithms derived from the simulation of natural phenomena, which faces the challenges of long running times and high computing loads resulting from large-scale problems. For this reason, the matrix-based EC (MEC) has been presented as an extension of classic EC algorithms to address large-scale optimization. The MEC can be implemented directly on high-performance computing resources, thus accelerating the computation of evolutionary operators. However, MEC is still in its infancy and lacks deeper analysis. Hence, this paper analyzes and investigates matrix-based differential evolution (MDE) and advances the development of related research through theoretical analysis and experimental validation, which has two contributions. First, through the comprehensive comparison of MDE and DE in different problems, we compare the solution quality and computational speed of MDE and DE, and show that the solution quality of MDE is not significantly different from that of DE, but the computational speed of MDE is much faster than that of DE. Second, we also further analyze the mutation mechanism of MDE, focusing on the effect of the repeatability of individuals in the mutation process on the performance of the algorithms, which provides a basis for future research on MDE of MEC. © 2024 IEEE.

关键词： differential evolution Evolutionary computation matrix-based evolutionary computation parallel computing

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A Review on AI-powered Advancements in Climate Finance and its Impact 18

A Review on AI-powered Advancements in Climate Finance and i...

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18th INDIAcom;11th International Conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Pandow, Bilal Ahmad Ganai, Khurshid Ali Hussain, Gousiya School of Business and Logistics Bahrain Polytechnic Manama Bahrain Higher Colleges of Technology Dept. of Business Dubai United Arab Emirates Mewar University Department of Computer Science Chittorgarh India

ISBN: (纸本)9789380544519

As humanity works progressively to address climate change, the combination of artificial intelligence (AI) and climate financing offers a hopeful path for significant progress. The objective of this project is to examine the strategic implementation of AI technology to improve many areas of climate financing. This research evaluates the capacity of AI algorithms to streamline and automate operations in climate financing organizations, resulting in improved operational efficiency and decreased administrative costs. Furthermore, we have examined the possible uses of AI-driven algorithmic trading in the realm of environmentally-friendly finance. We have assessed its influence on market behavior, the availability of funds, and the distribution of resources towards sustainable investments. In addition, we examine the ethical and regulatory factors related to the implementation of AI in this particular setting. The study examines the influence of algorithmic trading on green finance, with a focus on potential opportunities for collaboration between the public and private sectors. This research offers useful insights into utilizing AI technology to tackle climate-related concerns and promote sustainability in financial decision-making, with a specific emphasis on practical applications. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Artificial Intelligence Climate Change Climate Finance sustainable investments

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Applying Optimized ANN Models to Estimate Dew Point Pressure of Gas Condensates

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INTERNATIONAL JOURNAL OF CHEMICAL ENGINEERING 2022年第0期2022卷

作者： Han, Luo Sarvazizi, Saeed School of Computer Jiangsu University of Science and Technology Zhenjiang Jiangsu Province 212003 China Department of Petroleum Engineering Ahwaz Faculty of Petroleum Engineering Petroleum University of Technology (PUT) Ahwaz Iran Department of Petroleum Engineering Amirkabir University of Technology (Tehran Polytechnic) Tehran Iran

It is economically and technically essential to promptly and accurately estimate the dew point pressure (DPP) of gas condensate to, for example, characterize fluids, evaluate the performance of reservoirs, plan and develop reservoirs for gas condensates, and design/optimize a production system. Indeed, it is difficult to experimentally explore the DPP. Furthermore, experimental tests are time-consuming and complicated. Therefore, it is required to develop an accurate, reliable DPP estimation framework. This paper introduces artificial neural network (ANN) models coupled with optimization algorithms, including a genetic algorithm (GA) and particle swarm optimization (PSO), for DPP estimation. A total of 721 data points were employed to train and test the algorithm. In addition, the outlier data were identified and excluded. The root-mean-squared error (RMSE) and the coefficient of determination (R-2) were calculated to be 230.42 and 0.982 for the PSO-ANN model and 0.0022 and 0.997 for the GA-ANN model, respectively. The model estimates were found to be in good agreement with the experimental dataset. Therefore, it can be said that the proposed method is efficient and effective.

关键词： Gas condensates

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MXene Enhanced 3D Needled Waste Denim Felt for High‑Performance Flexible Supercapacitors

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Nano-Micro Letters 2024年第2期16卷 383-394页

作者： Wei Fan Qi Wang Kai Rong Yang Shi Wanxi Peng Handong Li Zhanhu Guo Ben Bin Xu Hua Hou Hassan Algadi Shengbo Ge Key Laboratory of Functional Textile Material and Product of the Ministry of Education School of Textile Science and EngineeringInstitute of Flexible electronics and Intelligent TextileXi’an Polytechnic UniversityXi’an 710048People’s Republic of China Co‑Innovation Center of Efficient Processing and Utilization of Forest Resources College of Materials Science and EngineeringNanjing Forestry UniversityNanjing 210037People’s Republic of China Henan Province International Collaboration Lab of Forest Resources Utilization School of ForestryHenan Agricultural UniversityZhengzhou 450002People’s Republic of China Integrated Composites Lab Department of Mechanical and Construction EngineeringNorthumbria UniversityNewcastle Upon Tyne NE18STUK College of Materials Science and Engineering Taiyuan University of Science and TechnologyTaiyuan 030024People’s Republic of China Department of Electrical Engineering Faculty of EngineeringNajran University11001 NajranSaudi Arabia

MXene,a transition metal carbide/nitride,has been prominent as an ideal electrochemical active material for ***,the low MXene load limits its practical *** environmental concerns and sustainable development become more widely recognized,it is necessary to explore a greener and cleaner technology to recycle textile by-products such as *** present study proposes an effective 3D fabrication method that uses MXene to fabricate waste denim felt into ultralight and flexible supercapacitors through needling and *** 3D structure provided more sites for loading MXene onto Z-directional fiber bundles,resulting in more efficient ion exchange between the electrolyte and ***,the carbonization process removed the specific adverse groups in MXenes,further improving the specific capacitance,energy density,power density and electrical conductivity of *** electrodes achieve a maximum specific capacitance of 1748.5 mF cm-2 and demonstrate remarkable cycling stability maintaining more than 94%after 15,000 galvanostatic charge/discharge ***,the obtained supercapacitors present a maximum specific capacitance of 577.5 mF cm^(-2),energy density of 80.2μWh cm^(-2)and power density of 3 mW cm^(-2),*** resulting supercapacitors can be used to develop smart wearable power devices such as smartwatches,laying the foundation for a novel strategy of utilizing waste cotton in a high-quality manner.

关键词： MXene 3D needled waste denim felt Supercapacitors Carbonization

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