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pFedCal: Lightweight Personalized Federated Learning with Adaptive Calibration Strategy

IEEE Transactions on Services computing 2025年第03期18卷 1627-1640页

作者： Deng, Dongshang Wu, Xuangou Zhang, Tao Xiang, Chaocan Zhao, Wei Xu, Minrui Kang, Jiawen Han, Zhu Niyato, Dusit Anhui University of Technology School of Computer Science and Technology Anhui Province Key Laboratory of Digital Twin Technology in Metallurgical Industry Anhui Engineering Research Center for Intelligent Applications and Security of Industrial Internet Ma'anshan243002 China Beijing Jiaotong University School of Cyberspace Science and Technology Beijing100044 China Anhui Provincial Key Laboratory of Digital Twin Technology in Metallurgical Industry Anhui243002 China Chongqing University College of Computer Science Chongqing400044 China Nanyang Technological University School of Computer Science and Engineering 639798 Singapore Guangdong University of Technology School of Automation Guangzhou510062 China University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of

Federated learning (FL) is a promising artificial intelligence framework that enables clients to collectively train models with data privacy. However, in real-world scenarios, to construct practical FL frameworks, several challenges have to be addressed, including statistical heterogeneity, constrained resources, and fairness. Therefore, we first investigate an aggregation gap caused by statistical heterogeneity during local model initialization, which not only causes additional computational overhead for clients but also leads to the degradation of fairness. To bridge this gap, we propose pFedCal, a novel personalized federated learning with lightweight adaptive calibration strategy that performs calibration compensation through the prior knowledge of clients. Specifically, we introduce compensation for each client at the model initialization, with the compensation derived from the global gradient and the latest gradient bias. To enhance the calibration effect, we introduce a smoothing-based calibration strategy, and we design an adaptive calibration strategy. A representative example demonstrates that the proposed calibration and smoothing strategies improve fairness for clients. The theoretical analysis indicates that with an appropriate learning rate, pFedCal converges to a first-order stationary point for non-convex loss functions. Comprehensive experimental results show that pFedCal achieves faster convergence, higher accuracy, and improved fairness than the state-of-the-art methods. © 2008-2012 IEEE.

关键词： Federated learning

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Assistive Technical Communication of Montenegrin eServices: a Case Study 27

Assistive Technical Communication of Montenegrin eServices: ...

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27th International Conference on Information Technology, IT 2023

作者： Simon, Aniko Lakovic, Luka Kovacevic, Pavle Kara, Peter A. Ognjanovic, Ivana Sendelj, Ramo Reich, Christoph Roganovic, Milovan Mantas, John Bokor, Laszlo Sigma Technology Budapest1093 Hungary University of Donja Gorica Faculty for Information Systems and Technologies Podgorica81000 Montenegro Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Networked Systems and Services Budapest1111 Hungary Kingston University Wireless Multimedia and Networking Research Group Department of Computer Science School of Computer Science and Mathematics Faculty of Science Engineering and Computing LondonKT1 2EE United Kingdom University of Donja Gorica Humanistic Studies Podgorica81000 Montenegro Furtwangen University Institute of Data Science Cloud Computing and It Security Furtwangen78120 Germany Clinical Centre of Montenegro Clinic for Neurology Podgorica81000 Montenegro National and Kapodistrian University of Athens Faculty of Nursing School of Health Sciences Goudi 11527 Greece

ISBN: (纸本)9798350397512

With the advancement of information technology in the recent decades, digital and online services have become essential components of everyday life in Europe. Montenegro is no different in this regard. However, as digital literacy in the country is still in a developing phase in comparison with most countries of the EU, a higher portion of its citizens may rely on assistive technical communication. In this paper, we provide a case study on the assistive technical communication of Montenegrin eServices. The work addresses the sectors of online banking, healthcare services, higher education, national administrative services, and utilities. Our findings highlight the diversity in terms of implemented assistive technical communication, and distinguish usage contexts on the level of adequacy. Yet as the functionalities of Montenegrin eServices are expected to gradually expand in the upcoming years, assistive technical communication must aim to handle the higher extents of service complexity. © 2023 IEEE.

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On the Impact of Spatial Mode Dispersion for Strongly-Coupled Multicore Fiber Submarine Transmission

On the Impact of Spatial Mode Dispersion for Strongly-Couple...

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2023 Optical Fiber Communications Conference and Exhibition, OFC 2023

作者： Sun, Lin Chen, Bin Liu, Gordon Ning Cai, Yi Li, Zhaohui Lu, Chao Shen, Gangxiang Soochow University Suzhou Key Laboratory of Advanced Optical Communication Network Technology School of Electronic and Information Engineering Suzhou215006 China Hefei University of Technology School of Computer Science and Information Engineering Hefei China Sun Yat-Sen University Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips School of Electronics and Information Technology Guangzhou511400 China The Hong Kong Polytechnic University Photonics Research Center Department of Electrical and Information Engineering Kowloon Hung Hom Hong Kong

Strongly-coupled multicore fibers exhibit the improved tolerance to fiber non-linearity. Their potentials in optical submarine communications are investigated with considering the coupling length and spatial mode disp... 详细信息

ISBN: (纸本)9781957171180

关键词： Submarines

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BLTESTI: Benchmarking Lightweight TinyJAMBU on Embedded Systems for Trusted IoT

BLTESTI: Benchmarking Lightweight TinyJAMBU on Embedded Syst...

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IEEE International SOC Conference

作者： Mohamed El-Hadedy Russell Hua Shahzman Saqib Kazutomo Yoshii Wen-Mei Hwu Martin Margala Department of Electrical and Computer Engineering California State Polytechnic University Pomona USA Coordinated Science Laboratory University of Illinois at Urbana-Champaign USA College of Computing University of Louisiana at Lafayette Louisiana USA Argonne National Laboratory Lemont Illinois USA

Embedded systems face an increasing number of attacks, necessitating improved security measures. However, the physical constraints of these devices often limit the use of traditional cryptographic techniques. To address this challenge, NIST organized a competition focused on lightweight cryptographic algorithms (LWC) tailored for embedded systems, aiming to minimize resource usage in low-power devices. This paper benchmarks the Rust, C, and Golang programming languages, considering their advantages in memory safety, portability, and concurrency, to implement the LWC algorithm finalist named TinyJAMBU. TinyJAMBU utilizes the non-linear feedback shift register (NLFSR) model as a core security element. The evaluation is conducted on embedded systems and FPGAs to determine the optimal strategy for mapping LWC cryptographic algorithms onto resource-constrained devices. Among the three languages, the C-based implementation achieves the highest runtime efficiency, while TinyGo demonstrates the lowest power consumption. Rust falls between the two, indicating trade-offs associated with each language. Despite its larger memory footprint of 73kB, the C-based implementation of TinyJAMBU outperforms other language implementations, achieving a faster runtime of ≈ 81 seconds for the same algorithm and 4-byte message size. Golang exhibits the smallest memory footprint of 19kB, while Rust’s memory footprint falls between the other two at 66kB. Furthermore, implementing TinyJAMBU on an FPGA using software-hardware partitioning with MicroBlaze takes ≈ 6.30 seconds to complete 10,000 encryption and decryption cycles, consuming around 1.09W of power. Although employing a proposed NLFSR co-processor with MicroBlaze for the 128-bit version of TinyJAMBU may not be the fastest approach, the reconfigurable nature of FPGAs allows for replicating the co-processor multiple times, offering significant advantages over the current state-of-the-art architecture of embedded systems.

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A self-supervised network for image denoising and watermark removal

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Neural Networks 2024年 174卷 106218页

作者： Tian, Chunwei Xiao, Jingyu Zhang, Bob Zuo, Wangmeng Zhang, Yudong Lin, Chia-Wen PAMI Research Group University of Macau 999078 China School of Computer Science Central South University Changsha410083 China School of Computer Science and Technology Harbin Institute of Technology Harbin150001 China School of Computing and Mathematics University of Leicester LeicesterLE1 7RH United Kingdom Department of Electrical Engineering and the Institute of Communications Engineering National Tsing Hua University Hsinchu300 Taiwan

In image watermark removal, popular methods depend on given reference non-watermark images in a supervised way to remove watermarks. However, reference non-watermark images are difficult to be obtained in the real world. At the same time, they often suffer from the influence of noise when captured by digital devices. To resolve these issues, in this paper, we present a self-supervised network for image denoising and watermark removal (SSNet). SSNet uses a parallel network in a self-supervised learning way to remove noise and watermarks. Specifically, each sub-network contains two sub-blocks. The upper sub-network uses the first sub-block to remove noise, according to noise-to-noise. Then, the second sub-block in the upper sub-network is used to remove watermarks, according to the distributions of watermarks. To prevent the loss of important information, the lower sub-network is used to simultaneously learn noise and watermarks in a self-supervised learning way. Moreover, two sub-networks interact via attention to extract more complementary salient information. The proposed method does not depend on paired images to learn a blind denoising and watermark removal model, which is very meaningful for real applications. Also, it is more effective than the popular image watermark removal methods in public datasets. Codes can be found at https://***/hellloxiaotian/SSNet. © 2024 Elsevier Ltd

关键词： Image denoising

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Bonding and Failure Mechanisms of Sintered-silver Die-attach on Electroless Nickel (Phosphorus) Surface Finish for Packaging Power Electronics Modules

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IEEE Transactions on Power Electronics 2024年

作者： Wang, Meiyu Zhang, Haobo Hu, Weibo Mei, Yunhui Lu, Guo-Quan Nankai University College of Electronic Information and Optical Engineering Tianjin300350 China Shenzhen research institute of Nankai University Shenzhen518083 China Nankai University Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology Tianjin300350 China Tiangong University School of Electrical Engineering Tianjin300387 China The Bradley Department of Electrical and Computer Engineering The Department of Materials Science and Engineering BlacksburgVA24061 United States

The low-temperature silver sintering technology has been increasingly applied for die-attach in power electronics modules. Most reported studies of the technology involved bonding on silver (Ag) or gold (Au) surface finish. Compared to Ag or Au, electroless nickel (phosphorus) or Ni(P) is a cost-effective and widely-used process for surface-finishing module substrates. However, there is a lack of studies on sintered-Ag bonding on the Ni(P) surface. In this study, IGBT devices were bonded using pressureless Ag-sintering on electroless Ni(P)-plated substrates. Micro-morphologies and macro-properties were then characterized before and after three reliability tests including high temperature storage life (HTSL), steady-state temperature-humidity bias life (STHBL), and temperature cycling (TC) tests. The as-sintered joints measured strong adhesion of 39 MPa, resulting from Ag-NiO-Ni chemical bonds across the (111) crystal planes with reduced lattice misfit. The Ag-Ni(P) joints exhibited high reliability under high-temperature and thermo-mechanical stress in the HTSL and TC tests, but performed poorly when exposed to high humidity in the STHBL test. The founding in this study helps understand the physical nature of bonding between sintered-Ag and Ni(P), and its failure mechanisms under the influence of different physical stresses. © 1986-2012 IEEE.

关键词： Bond strength (chemical)

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Comprehensive Time Dependent Dielectric Breakdown (TDDB) Characterization of Ferroelectric Capacitors Under Bipolar Stress Conditions

Comprehensive Time Dependent Dielectric Breakdown (TDDB) Cha...

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Annual International Symposium on Reliability Physics

作者： Priyankka Gundlapudi Ravikumar Prasanna Venkatesan Ravindran Khandker Akif Aabrar Taeyoung Song Sharadindu Gopal Kirtania Dipjyoti Das Chinsung Park Nashrah Afroze Mengkun Tian Shimeng Yu Ahmad Ehtesham Islam Suman Datta Souvik Mahapatra Asif Khan School of Electrical and Computer Engineering Georgia Institute of Technology GA USA Institute of Materials GA USA Sensors directorate Air Force Research Laboratory (AFRL) OH USA School of Material Science and Engineering Georgia Institute of Technology GA USA Department of Electrical Engineering Indian Institute of Technology Mumbai India

ISBN: (数字)9798350369762

ISBN: (纸本)9798350369779

In this work, we report the first comprehensive time-dependent dielectric breakdown (TDDB) study on ultra-thin HfO 2 -based ferroelectric under bipolar stress conditions. Here, field cycling is done on 7 nm Hf 0.5 Zr 0.5 O 2 (HZO) capacitors at different temperatures and bipolar stress fields. Despite involving polarization switching and associated large internal electric fields, bipolar cycling of ferroelectric HZO is shown to exhibit similar time-dependent dielectric breakdown acceleration trends to that of traditional dielectrics like SiO 2 . Notably, the temperature acceleration of time-dependent dielectric breakdown shows a linear dependence on the stress field similar to SiO 2 . Further, the field acceleration of time-dependent dielectric breakdown in ferroelectric HZO, while exhibiting functionally similar temperature dependence to that of SiO 2 , demonstrates considerably greater sensitivity to temperature.

关键词： Silicon compounds Temperature sensors Temperature dependence Polarization Temperature Capacitors Switches

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RECO-LFSR: Reconfigurable Low-power Cryptographic processor based on LFSR for Trusted IoT platforms

RECO-LFSR: Reconfigurable Low-power Cryptographic processor ...

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IEEE International Symposium on Quality Electronic Design

作者： Mohamed El-Hadedy Russell Hua Kazutomo Yoshii Wen-Mei Hwu Martin Margala Department of Electrical and Computer Engineering California State Polytechnic University Pomona USA Coordinated Science Laboratory University of Illinois at Urbana-Champaign USA College of Computing University of Louisiana at Lafayette Louisiana USA Argonne National Laboratory Lemont Illinois USA

Today we see lightweight computer hardware utilized in large volumes, especially with the growing use of IoT devices in homes. However, such devices often ignore security until it is too late and sensitive data breaches have *** here, the importance of finding lightweight cryptographic primitives to secure IoT devices is exponentially increasing, while not impacting the limited resources and limitation of the battery lifetime. In the search for a lightweight cryptographic standard, one must consider how to implement such algorithms optimally. For example, certain parts of an algorithm might be faster in hardware than in software and vice *** paper presents a hardware extension supporting the MicroBlaze softcore processor to efficiently implement one of the Lightweight Cryptography (LWC) finalists (TinyJAMBU) on Digilent Nexys A7-100T. The proposed hardware extension consists of a reconfigurable Non-Linear Feedback Shift Register (NLFSR), the central computing part for the authenticated encryption with associated data (AEAD) TinyJAMBU. The proposed NLFSR can run different variants of TinyJAMBU while only consuming 186 mWh in just ten minutes at 100 MHz. The total resources needed to host the proposed NLFSR on the FPGA are 610 LUT and 505 Flip-Flops while executable the binary size is 352 bytes smaller. Therefore, the proposed solution based on the hardware extension is x2.17 times faster than the pure software implementation of the whole TinyJAMBU using MicroBlaze while consuming six mWh more. To our knowledge, this is the first implementation of TinyJAMBU using software/hardware partitioning on FPGA with the softcore processor MicroBlaze.

关键词： Microprocessors Software algorithms Shift registers Hardware Software Table lookup Internet of Things

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Additively Manufactured Aperture-based FSS

Additively Manufactured Aperture-based FSS

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IEEE Instrumentation and Measurement Technology Conference

作者： Alexander Hook Doyle T. Motes Cody Morrow Kristen M. Donnell Department of Electrical and Computer Engineering Microwave Sensing (µSense) Laboratory Missouri University of Science and Technology Rolla Missouri USA Nondestructive Evaluation Division Texas Research Institute (TRI) Austin Inc. Austin Texas USA

ISBN: (数字)9798350380903

ISBN: (纸本)9798350380910

Frequency selective surfaces (FSSs) are arrays of patch- or aperture-based elements with specific high frequency reflective and/or transmissive properties. The specific FSS response of a given design is dictated by the element dimensions and spacing relative to adjacent elements (collectively referred to as the unit cell), along with the substrate (and superstrate if applicable) properties. As it relates to sensing, the FSS response may be affected by environmental (e.g., temperature) or structural (e.g., strain) changes. To this end, FSS-based sensors have been considered in recent years for a myriad of sensing applications including structural health monitoring (SHM). Concurrent to this, the growth of additive manufacturing (AM) technologies has opened the door for in-situ printing of FSS-based sensors. To this end, this work studies the potential for Fused Deposition Modeling (FDM) type AM-fabricated FSS-based sensors. Of particular interest is the effect of the reduced electrical conductivity (common to currently available conductive FDM filaments) on the performance and repeatability of FDM-printed sensors. Results from this work show that aperture-based FSS designs maintain a resonant response when printed with a reduced-conductivity material, whereas patch-based designs no longer provide FSS functionality. In addition, the results of a measurement study on a set of five additive manufactured FSS (AM-FSS) sensors show good agreement between the simulations and measurements and a high level of measurement repeatability. For these reasons, aperture-based FSS sensors fabricated via the FDM-AM process using a reduced conductivity filament are a viable option for aperture-based FSS fabrication and sensing applications.

关键词： Fabrication Visualization Additives Resonant frequency Conductivity Three-dimensional printing Sensors

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UAV Virtual Antenna Array Deployment for Uplink Interference Mitigation in Data Collection Networks

arXiv

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arXiv 2024年

作者： Li, Hongjuan Kang, Hui Sun, Geng Li, Jiahui Wang, Jiacheng Wang, Xue Niyato, Dusit Leung, Victor C.M. College of Computer Science and Technology Jilin University Changchun130012 China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China College of Computing and Data Science Nanyang Technological University Singapore639798 Singapore College of Computing and Data Science Nanyang Technological University Singapore Department of Communication Engineering Jilin University Changchun130012 China Artificial Intelligence Research Institute Shenzhen MSU-BIT University Shenzhen518115 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Department of Electrical and Computer Engineering The University of British Columbia VancouverV6T 1Z4 Canada

Unmanned aerial vehicles (UAVs) have gained considerable attention as a platform for establishing aerial wireless networks and communications. However, the line-of-sight dominance in air-to-ground communications often leads to significant interference with terrestrial networks, reducing communication efficiency among terrestrial terminals. This paper explores a novel uplink interference mitigation approach based on the collaborative beamforming (CB) method in multi-UAV network systems. Specifically, the UAV swarm forms a UAV-enabled virtual antenna array (VAA) to achieve the transmissions of gathered data to multiple base stations (BSs) for data backup and distributed processing. However, there is a trade-off between the effectiveness of CB-based interference mitigation and the energy conservation of UAVs. Thus, by jointly optimizing the excitation current weights and hover position of UAVs as well as the sequence of data transmission to various BSs, we formulate an uplink interference mitigation multi-objective optimization problem (MOOP) to decrease interference affection, enhance transmission efficiency, and improve energy efficiency, simultaneously. In response to the computational demands of the formulated problem, we introduce an evolutionary computation method, namely chaotic non-dominated sorting genetic algorithm II (CNSGA-II) with multiple improved operators. The proposed CNSGA-II efficiently addresses the formulated MOOP, outperforming several other comparative algorithms, as evidenced by the outcomes of the simulations. Moreover, the proposed CB-based uplink interference mitigation approach can significantly reduce the interference caused by UAVs to non-receiving BSs. Copyright © 2024, The Authors. All rights reserved.

关键词： Multiobjective optimization

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