IEEE Transactions on Consumer Electronics最新文献

{"title":"Secure Aggregation With Logarithmic Overhead for Federated Learning in VANETs","authors":"Kaiping Cui;Xia Feng;Liangmin Wang;Zuobin Ying","doi":"10.1109/TCE.2025.3533750","DOIUrl":"https://doi.org/10.1109/TCE.2025.3533750","url":null,"abstract":"As a critical component in federated learning (FL), secure aggregation enables the server to learn the aggregated model without observing clients’ local training gradients. However, limited by computation and communication capabilities, existing aggregation schemes are not suitable to be directly employed in the Vehicular Ad Hoc Networks (VANETs) scenario. In this paper, we present a secure aggregation framework constructed with k-regular graph over VANETs scenario. We first optimize the secure aggregation scheme proposed by Bell et al. (CCS 2020). Specifically, using this new building block and an identity authentication mechanism in the vehicle-to-vehicle (V2V) communication mode, we design an optimized aggregation scheme that, when executed among n vehicles, can further reduce <inline-formula> <tex-math>$2n$ </tex-math></inline-formula> communication times between vehicles and the central server while guaranteeing logarithmic overhead. Besides, by applying a zero-knowledge proof to the authentication process, our proposal supports vehicles anonymously constructing the k-regular graph and completing parameter computation process, which enhances privacy preservation in semi-honest settings. Under the experiment and security analysis, our proposal is demonstrated to be able to effectively achieve privacy preservation while achieving less computation and communication overheads compared to state-of-the-art aggregation schemes.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"71 1","pages":"2072-2089"},"PeriodicalIF":4.3,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling the Temporal Dynamics of EEG Signals in Selective Listening","authors":"Siqi Cai;Ran Zhang;Hongxu Zhu;Haizhou Li","doi":"10.1109/TCE.2025.3533002","DOIUrl":"https://doi.org/10.1109/TCE.2025.3533002","url":null,"abstract":"Human brain possesses an extraordinary ability to attend to a specific sound source in a multi-talk, noisy environment such as a cocktail party. Auditory attention detection (AAD) aims to automatically identify such attentive neural activity from brain signals, such as electroencephalography (EEG). Given the dynamic and nonlinear nature of EEG signals, we propose a spiking long short-term memory (LSTM) network to capture the temporal features from EEG data. Additionally, we introduce a spiking temporal attention mechanism that dynamically assigns differentiated weights, thereby enhancing the representation of EEG features. We evaluate our proposed spiking temporal LSTM model, named ST-LSTM, on a widely used AAD dataset through a wide range of experiments. The experiments demonstrate that ST-LSTM outperforms other competing models, especially in low-latency settings. Moreover, with low power consumption, ST-LSTM offers a practical solution for edge computing implementations such as neuro-steered hearing aids, and other portable brain-computer interfaces.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"71 1","pages":"1115-1124"},"PeriodicalIF":4.3,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hierarchical Meta-Heuristic Encoder-Decoder Architecture With Next-Generation Imaging for Consumer-Centric Segmentation of Diabetic Foot Ulcers","authors":"Nishu Bansal;Ankit Vidyarthi","doi":"10.1109/TCE.2025.3532639","DOIUrl":"https://doi.org/10.1109/TCE.2025.3532639","url":null,"abstract":"Diabetic foot ulcers represent a pressing global health concern, demanding precise and efficient segmentation for timely intervention and improved patient outcomes. This work proposed an approach named Hierarchical Meta-Heuristic Encoder-Decoder Architecture (HM-EDA) integrated with Next-Generating Imaging (NGI) for consumer-centric segmentation of Diabetic Foot Ulcers (DFUs). The proposed model is designed to address the challenges posed by the intricate nature of foot ulcer characteristics, leveraging the strengths of both hierarchical feature extraction and evolutionary optimization within the DenseNet architecture. HM-EDA is structured in a hierarchical manner, allowing for the extraction of multi-scale features from the input data. Additionally, an evolutionary optimization mechanism is embedded within the DenseNet framework to adaptively fine-tune model parameters, enhancing the overall performance and generalization capabilities. The internal architecture of the model is built up by using the cascading of the plain and reduced cell blocks with skip connections. We validate the proposed HM-EDA-NGI model using an extensive dataset comprising varied DFU cases, demonstrating its superior segmentation accuracy of 97.25%, Dice score as 0.95, and IoU as 0.94, compared to existing methodologies.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"71 1","pages":"189-197"},"PeriodicalIF":4.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Oh-FedRec: One-Shot and Heterogeneous Vertical Federated Recommendation System","authors":"Xiangjie Kong;Xiaohua He;Xulin Ma;Xiaoran Yan;Lingyun Wang;Guojiang Shen;Zhi Liu","doi":"10.1109/TCE.2025.3532724","DOIUrl":"https://doi.org/10.1109/TCE.2025.3532724","url":null,"abstract":"Federated learning has a wide range of applications in recommendation systems, but most federated recommendation systems can only achieve federated communication between users and servers. Only a few are vertical federated recommendation systems, achieving federated server communication. In addition, the current federated recommendation frameworks require that each participant have the same model. This condition is very harsh for all participants involved. What is more, the current federated recommendation frameworks require multiple rounds of communication, which consumes many communication resources and much time. To solve these problems, we propose a one-shot and heterogeneous vertical federated recommendation framework called Oh-FedRec. This framework needs only one round of communication, dramatically reducing the consumption of communication resources. Additionally, it no longer requires participants to have consistent models, significantly reducing constraints on the various participants. We tested our framework on Tmall and Jingdong datasets, and the test results proved the superiority of Oh-FedRec.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"71 1","pages":"849-861"},"PeriodicalIF":4.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Photovoltaic MPPT Performance Adaptability to Partial Shading Resilience and Load Variations With Modified Adaptive Jaya Optimization","authors":"Manoj Kumar Senapati;Chittaranjan Pradhan;Sanjeevkumar Padmanaban;Omar Al Zaabi","doi":"10.1109/TCE.2025.3532660","DOIUrl":"https://doi.org/10.1109/TCE.2025.3532660","url":null,"abstract":"Solar Photovoltaic (PV) power is the most common and efficient renewable energy source. The potential for utilizing solar PV energy on Earth is enormous. PV module characteristics significantly influence extracting maximum output from current solar power installations. Solar insolation and panel temperature substantially influence the voltage-current (V~I) and power-voltage (P~V) properties. The degree to which the system’s efficiency may be improved is determined by the accuracy with which the maximum power point tracking (MPPT) controller follows the nonlinear PV characteristics. This comprehensive investigation delves into the solar PV system dynamics, highlighting how modules induce power loss because of partial shading-induced peaks. Modified Adaptive Jaya Optimization (MAJO) is a novel meta-heuristic optimization approach designed to monitor maximum global power. MAJO boasts advantages over the conventional Deterministic Jaya Optimization (DM-Jaya) method under partial shading configurations (PSCs), exhibiting quicker convergence times and requiring fewer computing operations. MATLAB/Simulink and experimental scenarios are simulated and assessed under various environmental conditions, including step changes in solar irradiance, partial shading, and load variation, to evaluate the effectiveness of the proposed MAJO algorithm. The acquired findings are compared with the DM-Jaya and the Modified particle swarm optimization (MPSO), Maximum power trapezium (MPT) and Voltage window search (VSW) suggesting and demonstrating that the proposed MAJO algorithm yields better MPPT performance. Rigorous testing with a prototype experimental setup yielded a remarkable 99.9% tracking efficiency for the studied PSCs, accompanied by reduced settling times of 0.6s and convergence time of 0.154s. Additionally, the efficacy of the MAJO in terms of faster convergence characteristics, and attaining the optimal solution has been investigated on several unconstrained benchmark functions.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"71 1","pages":"734-747"},"PeriodicalIF":4.3,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Joint Multi-Scale Multimodal Transformer for Emotion Using Consumer Devices","authors":"Mustaqeem Khan;Jamil Ahmad;Wail Gueaieb;Giulia De Masi;Fakhri Karray;Abdulmotaleb El Saddik","doi":"10.1109/TCE.2025.3532322","DOIUrl":"https://doi.org/10.1109/TCE.2025.3532322","url":null,"abstract":"The field of Multimodal Emotion Recognition (MER) has made considerable advancements in recent years; however, the opportunity to leverage the synergistic relationships between different modalities remains largely untapped. This paper introduces an MER approach employing a Joint Multi-Scale Multimodal Transformer (JMMT) with recursive cross-attention for naturalistic recognition of emotions by enhancing and capturing inter- and intra-modal relationships across both (visual and audio) modalities. We compute multi-scale attention weights based on cross-correlations between multi-scale joint representations of combined and individual cues to capture inter and intra-modal dynamics. As a result of individual modalities, recursive inputs are fed back during the fusion for further refinement of features. Our JMMT model presents a cost-effective solution for consumer devices by capturing synergistic characteristics across visual and audio inputs. The JMMT model outperforms the state-of-the-art (SOTA) methods in MER systems, which were evaluated by IEMOCAP and MELD datasets.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"71 1","pages":"1092-1101"},"PeriodicalIF":4.3,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Battery Swapping Service Management System Reliability-Based Design Concerning Station Information Delay","authors":"Xinyu Li;Yue Cao;Ziyi Hu;Xu Zhang;Zhi Liu;Xinhai Lei","doi":"10.1109/TCE.2025.3531384","DOIUrl":"https://doi.org/10.1109/TCE.2025.3531384","url":null,"abstract":"Since the long duration associated with traditional plug-in charging modes inevitably causes range anxiety to electric vehicle (EV) drivers, the battery swapping technology has emerged as a promising alternative. It thus becomes imperative to develop a reliable battery swapping service system, efficiently managing the large-scale energy replenishing demands from EVs. Firstly, this paper considers drivers’ trip destination to minimize total trip duration, and the expense paid for battery swapping service to save users’ service cost. By optimizing the requirement of battery swapping service during peak-price period, the expenditure for energy supplement can be reduced. Secondly, concerning in practice that the transmission delay is a crucial factor impacting the overall network and system reliability, this paper further investigates the impact of station information delay between the global controller and battery swapping stations (BSSs). By characterizing the delay into two types, namely, low and large delays, the scenario based on a known delay type are investigated. Thirdly, delay cases with multiple BSSs are also taken into account and a mixed decision-making method is developed. Finally, simulation results indicate the desirable performance of proposed scheme in satisfying user demand and alleviating impact of station information delay.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"71 1","pages":"1063-1078"},"PeriodicalIF":4.3,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"On the Performance of Consumer IoT Networks Based on Asynchronous Cell-Free Massive MIMO","authors":"Xiaomin Chen;Jiangdong Cao;Qinbin Zhou;Feiyang Li;Qiang Sun;Jiayi Zhang","doi":"10.1109/TCE.2025.3528439","DOIUrl":"https://doi.org/10.1109/TCE.2025.3528439","url":null,"abstract":"The proliferation of consumer electronics in the Internet of Things (IoT) has led to the expanding applications in various fields with increasing demand for large-scale connections. Spectrum scarcity has become a crucial challenge. Cell-free (CF) massive multiple-input multiple-output (mMIMO) is a promising technology to support the future consumer IoT networks due to its ability to assure seamless mobility support. However, a perfect synchronization has been commonly assumed in the CF mMIMO system which is infeasible in the consumer IoT networks where the intelligent devices and access points (APs) can be geographically distributed. This paper considers an asynchronous CF mMIMO system for the consumer IoT networks and investigates its performance. A rate-splitting (RS) strategy is proposed and the phase shift is considered in the line of sight (LoS) path of Rician fading channel with mobility and phase noise. The phase-aware minimum mean square error (MMSE) and non-perceptual linear MMSE (LMMSE) estimators are derived. The closed-form expressions of downlink spectral efficiency (SE) for coherent and non-coherent data transmission are derived for the system with and without RS strategy. Simulation results demonstrate that the proposed RS strategy can improve the downlink SE of the consumer IoT networks based on asynchronous CF mMIMO.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"71 1","pages":"438-452"},"PeriodicalIF":4.3,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Enhancing Stability Control Strategy of VSG-Based Power Source Under PWM Rectifier Load","authors":"Gaoxiang Li;Bowen Liu;Wenhao Song;Jining Chen;Xiao Liu","doi":"10.1109/TCE.2025.3532104","DOIUrl":"https://doi.org/10.1109/TCE.2025.3532104","url":null,"abstract":"Under PWM rectifier load, the power source based on virtual synchronous generator (VSG) is prone to cause mid-frequency oscillation. Firstly, the system oscillation mechanism and characteristic of the VSG-based power source are analyzed based on impedance method. Due to the negative resistance and capacitive characteristic in the middle frequency range, the PWM rectifier load is prone to interact with the VSG-based power source, which can lead to impedance resonance. Secondly, to improve the stability of the VSG-based power source under the PWM rectifier load, a voltage differentiation feedforward control is proposed. In addition, since the mid-frequency impedance magnitude decrease obviously, the improved VSG-based power source is closer to the ideal voltage source, which can automatically suppress the middle harmonics induced by uncontrollable rectifier load. Finally, the proposed control and the corresponding theoretical analysis are verified by simulations and experiments.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"71 1","pages":"808-818"},"PeriodicalIF":4.3,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel On-Policy DRL-Based Approach for Resource Allocation in Hybrid RF/VLC Systems","authors":"Tanya Verma;Arif Raza;Shivanshu Shrivastava;Amit Kumar;Dwarkadas Prahladadas Kothari;Umakant Dhar Dwivedi","doi":"10.1109/TCE.2025.3529846","DOIUrl":"https://doi.org/10.1109/TCE.2025.3529846","url":null,"abstract":"Visible light communication (VLC) has emerged as a promising technology, delivering high-speed data transmission for 5G and beyond communication. Nevertheless, its susceptibility to blockages demands a co-deployment with traditional radio frequency (RF) systems to ensure uninterrupted connectivity. This co-deployment, known as a hybrid RF/VLC system, is a subset of heterogeneous networks (HetNets) and offers interoperability, energy efficiency, and optimal resource utilization. In hybrid RF/VLC, efficient resource allocation and load balancing are crucial. Existing Deep Q-Network (DQN) learning-based methods designed to address these issues, fail in large and dynamic environments. Our present study investigates alternative approaches for optimal resource allocation and load balancing in dynamic and large hybrid RF/VLC systems, to achieve maximum data rates for users. We propose two model-free on-policy deep reinforcement learning (DRL) based schemes, namely advantage actor-critic (A2C) and proximal policy optimization (PPO), for efficient resource allocation in hybrid RF/VLC. Simulation results show that the A2C and PPO based schemes outperform the DQN learning scheme by 31.3% and 32.5%, respectively, in terms of data rates. The proposed schemes also outperform the deep deterministic policy gradient (DDPG) in data rate maximization by up to 8.1% and 9.7%, respectively.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"71 1","pages":"550-560"},"PeriodicalIF":4.3,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}