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Finite-Time Analysis of Over-the-Air Federated TD Learning

IEEE Transactions on Wireless Communications 2025年

作者： Fabbro, Nicolo Dal Mitra, Aritra Heath, Robert W. Schenato, Luca Pappas, George J. University of Pennsylvania Electrical and Systems Engineering Department United States North Carolina State University Electrical and Computer Engineering Department United States University of California Department of Electrical and Computer Engineering San Diego United States University of Padova Department of Information Engineering Italy

In recent years, federated learning has been widely studied to speed up various supervised learning tasks at the wireless network edge. However, there is a lack of theoretical understanding as to whether similar speedups in sample complexity can be achieved for cooperative reinforcement learning (RL) problems subject to communication constraints. To that end, we study a federated policy evaluation problem over wireless fading channels where, to update model parameters, a central server aggregates local temporal difference (TD) update directions from N agents via analog over-the-air computation (OAC). We refer to this scheme as OAC-FedTD and provide a rigorous finite-time convergence analysis of its performance. Our analysis reveals the impact of the noisy fading channels on the convergence rate and establishes a linear convergence speedup w.r.t. the number of agents. Notably, this is the first non-asymptotic analysis of a cooperative RL setting under wireless channels that jointly considers linear value function approximation, Markovian sampling, and the OAC channel-induced distortions and noise. Our work develops the theoretical foundations that are key for relevant advancements in the analysis and design of federated reinforcement learning algorithms over wireless networks. © 2002-2012 IEEE.

关键词： Reinforcement learning

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Buck-Boost Charge Pump based DC-DC converter

Buck-Boost Charge Pump based DC-DC converter

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2022 Panhellenic Conference on Electronics and Telecommunications, PACET 2022

作者： Keramida, Evi Souliotis, George Vlassis, Spyridon Plessas, Fotis University of Thessaly Department of Electrical and Computer Engineering Volos Greece University of the Peloponnese Department of Electrical and Computer Engineering Patras Greece University of Patras Electronics Laboratory Department of Physics Patras Greece

ISBN: (数字)9798350399585

ISBN: (纸本)9798350399585

A dual mode buck-boost charge pump is presented in this paper. The two modes, buck and boost, of the CP can be used by the same circuit for degrading or elevating the output voltage, respectively, compared to the input. Each mode can be achieved by switching only the input-output connections without any other change in the design of the DC-DC converter. This dual mode configuration aims to merge two different functions into one circuit minimizing the area the DC-DC converter occupies on the die. The proposed buck-boost CP has been designed using TSMC 130nm complementary metal-oxide-semiconductor (CMOS) technology providing a 3.3V output voltage from a 2.2V supply voltage when the DC-DC converter operates in boost mode and a 1.6V output voltage from a 3.3V supply voltage in buck mode. A 2uF capacitor has been placed at the output of the CP. For the buck mode, the capacitor of the output must be pre-charged in order for the CP to operate properly. © 2022 IEEE.

关键词： Power management

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Multiscale aggregation and illumination-aware attention network for infrared and visible image fusion

Multiscale aggregation and illumination-aware attention netw...

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作者： Song, Wenhao Zhai, Wenzhe Gao, Mingliang Li, Qilei Chehri, Abdellah Jeon, Gwanggil School of Electrical and Electronic Engineering Shandong University of Technology Zibo China School of Electronic Engineering and Computer Science Queen Mary University of London London United Kingdom Department of Mathematics and Computer Science Royal Military College of Canada Kingston Canada Department of Embedded Systems Engineering Incheon National University Incheon Korea Republic of

Image fusion plays a significant role in computer vision since numerous applications benefit from the fusion results. The existing image fusion methods are incapable of perceiving the most discriminative regions under varying illumination circumstances and thus fail to emphasize the salient targets and ignore the abundant texture details of the infrared and visible images. To address this problem, a multiscale aggregation and illumination-aware attention network (MAIANet) is proposed for infrared and visible image fusion. Specifically, the MAIANet consists of four modules, namely multiscale feature extraction module, lightweight channel attention module, image reconstruction module, and illumination-aware module. The multiscale feature extraction module attempts to extract multiscale features in the images. The role of the lightweight channel attention module is to assign different weights to each channel so as to focus on the essential regions in the infrared and visible images. An illumination-aware module is employed to assess the probability distribution regarding the illumination factor. Meanwhile, an illumination perception loss is formulated by the illumination probabilities to enable the proposed MAIANet to better adjust to the changes in illumination. Experimental results on three datasets, that is, MSRS, TNO, and RoadSence, verify the effectiveness of the MAIANet in both qualitative and quantitative evaluations. © 2023 John Wiley & Sons, Ltd.

关键词： Image fusion

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Enhancing Pre-Tertiary Students Decision-Making using a Web-Based Admission Recommender System

Enhancing Pre-Tertiary Students Decision-Making using a Web-...

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2024 International Conference on Science, engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Famodimu, Oluwasefunmi Akande, Adeyemi Fapohunda, Kofoworola Faluyi, Samuel Balogun, Temitayo Babcock University Department of Computer Science Ilisan Nigeria Louisiana Tech University Department of Electrical and Electronics Engineering Ruston United States Louisiana Tech University Department of Biomedical Engineering Ruston United States Ekiti State Polytechnic Department of Computer Science Isan Ekiti Nigeria Federal University of Technology Department of Information Systems Akure Nigeria

ISBN: (纸本)9798350358155

Education plays a pivotal role in individual development, imparting growth, values, and cultural understanding. In the realm of education, university education emerges as a transformative phase crucial for professional life. The selection of the right course during these formative years significantly shapes one's life trajectory. Amidst the complexities of this decision-making stage, exacerbated by societal pressures, pre-tertiary students often grapple with confusion. This research addresses the unique challenges faced by pre-tertiary students through the introduction of a Web-Based Admission Recommender System. Unlike existing systems, our recommender system empowers students to autonomously make well-informed decisions about their course of study, considering their distinctive abilities. The system integrates three crucial parameters: preferred core subjects' combination, Intelligence Quotient, and Career Interest. Implemented with the Catboost Classification utilizing the Gradient Boosting Algorithm, and featuring a user interface designed with Bootstrap 3, Python, and Flask, the system underwent rigorous testing with primary data from 346 secondary school students in their final year. The evaluation showcased commendable accuracy, with a notable 86.71% accuracy rate, 74.4% precision, 80% recall, and an 83% f1 score rate. This research makes distinctive contributions to the field by significantly enhancing the decision-making process for pretertiary students. The recommender system emerges as a reliable tool, uniquely positioned to guide students in selecting courses aligned with their individual capabilities and aspirations. By addressing the nuanced needs of pre-tertiary students, our research sets a new standard in personalized educational guidance. © 2024 IEEE.

关键词： Students

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Dual-Recommendation Disentanglement Network for View Fuzz in Action Recognition

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IEEE Transactions on Image Processing 2023年 32卷 2719-2733页

作者： Liu, Wenxuan Zhong, Xian Zhou, Zhuo Jiang, Kui Wang, Zheng Lin, Chia-Wen Wuhan University of Technology School of Computer Science and Artificial Intelligence Wuhan430070 China Wuhan University of Technology Hubei Key Laboratory of Transportation Internet of Things School of Computer Science and Artificial Intelligence Wuhan430070 China Peking University School of Electronics Engineering and Computer Science Beijing100091 China Harbin Institute of Technology School of Computer Science and Technology Harbin150001 China Wuhan University School of Computer Science Wuhan430072 China National Tsing Hua University Department of Electrical Engineering Hsinchu30013 Taiwan

Multi-view action recognition aims to identify action categories from given clues. Existing studies ignore the negative influences of fuzzy views between view and action in disentangling, commonly arising the mistaken recognition results. To this end, we regard the observed image as the composition of the view and action components, and give full play to the advantages of multiple views via the adaptive cooperative representation among these two components, forming a Dual-Recommendation Disentanglement Network (DRDN) for multi-view action recognition. Specifically, 1) For the action, we leverage a multi-level Specific Information Recommendation (SIR) to enhance the interaction among intricate activities and views. SIR offers a more comprehensive representation of activities, measuring the trade-off between global and local information. 2) For the view, we utilize a Pyramid Dynamic Recommendation (PDR) to learn a complete and detailed global representation by transferring features from different views. It is explicitly restricted to resist the fuzzy noise influence, focusing on positive knowledge from other views. Our DRDN aims for complete action and view representation, where PDR directly guides action to disentangle with view features and SIR considers mutual exclusivity of view and action clues. Extensive experiments have indicated that the multi-view action recognition method DRDN we proposed achieves state-of-the-art performance over powerful competitors on several standard benchmarks. The code will be available at https://***/51cloud/DRDN. © 1992-2012 IEEE.

关键词： Economic and social effects

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Arbitrarily polarized bound states in the continuum with twisted photonic crystal slabs

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Light(Science & Applications) 2023年第4期12卷 542-550页

作者： Haoye Qin Zengping Su Mengqi Liu Yixuan Zeng Man-Chung Tang Mengyao Li Yuzhi Shi Wei Huang Cheng-Wei Qiu Qinghua Song Tsinghua Shenzhen International Graduate School Tsinghua UniversityShenzhen 518055China Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore Institute of Precision Optical Engineering School of Physics Science and EngineeringTongji UniversityShanghai 200092China Key Laboratory of Multifunctional Nanomaterials and Smart Systems Suzhou institute of Nano-Tech and Nano-Bionics(SINANO)Chinese Academy of Sciences(CAS)Suzhou 215123China

Arbitrary polarized vortex beam induced by polarization singularity offers a new platform for both classical optics and quantum entanglement *** states in the continuum(BICs)have been demonstrated to be associated with topological charge and vortex polarization singularities in momentum *** conventional symmetric photonic crystal slabs(PhCSs),BIC is enclosed by linearly polarized far fields with winding angle of 2π,which is unfavorable for high-capacity and multi-functionality integration-optics ***,we show that by breakingσz-symmetry of the PhCS,asymmetry in upward and downward directions and arbitrarily polarized BIC can be realized with a bilayer-twisted *** exhibits elliptical polarization states with constant ellipticity angle at every point in momentum space within the vicinity of *** topological nature of BIC reflects on the orientation angle of polarization state,with a topological charge of 1 for any value of ellipticity *** coverage of Poincarésphere(i.e.,-π/4≤X≤4 and-π/2≤ψ≤π/2)and higher-order Poincarésphere can be realized by tailoring the twist *** findings may open up new avenues for applications in structured light,quantum optics,and twistronics for photons.

关键词： Poincaré polarized twisted

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Low-Power Envelope Detector for WSN Wake-up Receiver Applications 1

Low-Power Envelope Detector for WSN Wake-up Receiver Applica...

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1st IEEE International Conference on Design, Test and Technology of Integrated systems, DTTIS 2023

作者： Bouraoui, Mariem Neifar, Amel Barraj, Imen Masmoudi, Mohamed National Engineers School of Sfax University of Sfax Systems Integration and Emerging Energies Laboratory Electrical Engineering Department Sfax3038 Tunisia University of Gabes National Engineers School of Gabes Tunisia Prince Sattam Bin Abdulaziz University College of Computer Engineering and Sciences Department of Computer Engineering Al-Kharj11942 Saudi Arabia

ISBN: (纸本)9798350316957

This paper highlights the importance of the wake-up receiver in applications using WSN while offering a brief description of this element. In this work, the design of a low-power envelope detector for wake-up receiver applications is presented. By using RF-TSMC CMOS 0.18μm, the proposed envelope circuit is designed for 52 GHz frequency. The forward body biasing method is employed to decrease the circuit energy consumption. The proposed circuit can achieve 152MHz cut-off frequency over the operating frequency range and has power dissipation of 87.5μW under 1V. © 2023 IEEE.

关键词： CMOS integrated circuits

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Black-hole-inspired thermal trapping with graded heat-conduction metadevices

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National Science Review 2023年第2期10卷 131-138页

作者： Liujun Xu Jinrong Liu Peng Jin Guoqiang Xu Jiaxin Li Xiaoping Ouyang Ying Li Cheng-Wei Qiu Jiping Huang Department of Physics State Key Laboratory of Surface Physics and Key Laboratory of Micro and Nano Photonic Structures (MOE) Fudan University Department of Electrical and Computer Engineering National University of Singapore Graduate School of China Academy of Engineering Physics School of Materials Science and Engineering Xiangtan University Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical InstrumentationZJU-Hangzhou Global Scientific and Technological Innovation CenterZhejiang University International Joint Innovation Center Key Laboratory of Advanced Micro/Nano Electronic Devices and Smart Systems of Zhejiang The Electromagnetics Academy of Zhejiang University Zhejiang University

The curved space-time produced by black holes leads to the intriguing trapping *** far,metadevices have enabled analogous black holes to trap light or sound in laboratory ***,trapping heat in a conductive environment is still challenging because diffusive behaviors are *** by black holes,we construct graded heat-conduction metadevices to achieve thermal trapping,resorting to the imitated advection produced by graded thermal conductivities rather than the trivial solution of using insulation materials to confine thermal *** experimentally demonstrate thermal trapping for guiding hot spots to diffuse towards the *** heat-conduction metadevices have advantages in energy-efficient thermal regulation because the imitated advection has a similar temperature field effect to the realistic advection that is usually driven by external energy *** results also provide an insight into correlating transformation thermotics with other disciplines,such as cosmology,for emerging heat control schemes.

关键词： thermal trapping graded metadevices imitated advection

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Analyzing the Impact of Security Measures on Wi-Fi Quality of Service 2

Analyzing the Impact of Security Measures on Wi-Fi Quality o...

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2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things, AIBThings 2024

作者： Kopcho, Thomas J. Fouda, Mostafa M. Krome, Cameron J. Quach, Anna T. Olaveson, Israel G. Idaho State University Department of Computer Science PocatelloID United States Idaho State University Department of Electrical and Computer Engineering PocatelloID United States Ai Data & Visualization Idaho National Laboratory Idaho FallsID United States

ISBN: (纸本)9798331529529

This study examines the relationship between Quality of Service (QoS) and security in Wi-Fi networks. Using a detailed dataset consisting of QoS metrics of file transfers under various security configurations, we analyze the impact of these settings on network performance. Our findings provide a quantification to accurately show that different encryption protocols, such as TKIP and CCMP, significantly affect QoS, with disabling security generally improving performance. The study provides a framework for optimizing security settings to enhance both security and QoS in future wireless networks. © 2024 IEEE.

关键词： Wireless local area networks (WLAN)

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Fuzzy Logic Controller-based Synchronverter in Grid-connected Solar Power System with Adaptive Damping Factor

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Chinese Journal of electrical engineering 2021年第2期7卷 37-49页

作者： Kah Yung Yap Chee Ming Beh Charles R.Sarimuthu Department of Electrical and Computer Systems Engineering(ECSE) School of EngineeringMonash University MalaysiaSubang Jaya 47500Malaysia

In recent years,renewable energy sources,specifically solar power systems,have developed rapidly owing to their technological maturity and cost ***,its grid integration deteriorates frequency stability because of insufficient rotating masses and inertial ***,a synchronverter,which is an inverter that mimics the operation of a synchronous generator,is crucial to interface solar power in a power *** stabilizes the power grid by emulating a virtual ***,a conventional proportional-integral(PI)-based synchronverter is not equipped with an adaptive damping factor(Dp)or a digitalized smart controller to manage fast-responding solar ***,a novel fuzzy logic controller(FLC)framework is proposed such that the synchronverter can operate in a grid-connected solar power *** this study,Dp is controlled in real time using an FLC to achieve balance between speed and stability for frequency error correction based on frequency *** of four case studies performed in Matlab/Simulink show that the proposed FLC-based synchronverter can stabilize the grid frequency by reducing the frequency deviation by at least 0.2 Hz(0.4%),as compared with the conventional PI-based synchronverter.

关键词： Fuzzy logic controller(FLC) synchronverter renewable energy system(RES) grid stability solar power system

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