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12th International Conference on Learning Representations, ICLR 2024

作者： Jiang, Meirui Le, Anjie Li, Xiaoxiao Dou, Qi Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong Department of Electrical and Computer Engineering The University of British Columbia Canada

Personalized federated learning (PFL) has emerged as a promising technique for addressing the challenge of data heterogeneity. While recent studies have made notable progress in mitigating heterogeneity associated with label distributions, the issue of effectively handling feature heterogeneity remains an open question. In this paper, we propose a personalization approach by Local-Global updates Mixing (LG-Mix) via Neural Tangent Kernel (NTK)-based convergence. The core idea is to leverage the convergence rate induced by NTK to quantify the importance of local and global updates, and subsequently mix these updates based on their importance. Specifically, we find the trace of the NTK matrix can manifest the convergence rate, and propose an efficient and effective approximation to calculate the trace of a feature matrix instead of the NTK matrix. Such approximation significantly reduces the cost of computing NTK, and the feature matrix explicitly considers the heterogeneous features among samples. We have theoretically analyzed the convergence of our method in the over-parameterize regime, and experimentally evaluated our method on five datasets. These datasets present heterogeneous data features in natural and medical images. With comprehensive comparison to existing state-of-the-art approaches, our LG-Mix has consistently outperformed them across all datasets (largest accuracy improvement of 5.01%), demonstrating the outstanding efficacy of our method for model personalization. Code is available at https://***/med-air/HeteroPFL. © 2024 12th International Conference on Learning Representations, ICLR 2024. All rights reserved.

关键词： Mixing

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Proposing Bus Adapter Connections in IEC 61499 50

Proposing Bus Adapter Connections in IEC 61499

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Jhunjhunwala, Pranay Vyatkin, Valeriy Department of Electrical Engineering and Automation Aalto University Espoo Finland Department of Computer Science Computer and Space Engineering Lulea Tekniska Universitet Sweden

ISBN: (纸本)9781665464543

This paper proposes an extension to IEC 61499 architecture to better support flexibility and reconfigurability of automation systems while reducing communication overhead. The extension concerns adapter connections between function blocks. It aims at improving the performance of popular "one-line engineering" design pattern. The current adapter connections are supporting one-to-one links between function blocks, through which a bi-direction flow of events and data takes place. The proposed extension, called bus, allows many-to-many connections, i.e., several function blocks can be connected to several function blocks sending and receiving events and data simultaneously. Before implementing the extension by means of compiler and editor, it was prototyped using an existing means of IEC 61499, as a composite function block with several inputs - adapter sockets and outputs - adapter plugs. The prototyping shows feasibility of the proposed extension. © 2024 IEEE.

关键词： Automation

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A Novel Blockchain-based System for Service Quality Improvement in Multi-Tenant O-RANs

A Novel Blockchain-based System for Service Quality Improvem...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Zhang, Jiarui Shang, Xiaojun Zeng, Yiming Yang, Yuanyuan Stony Brook University Department of Electrical and Computer Engineering United States University of Texas Department of Computer Science and Engineering Arlington United States

ISBN: (纸本)9798350351255

Open Radio Access Networks (O-RANs) are transforming the landscape of telecommunications to better performance and higher cost-efficiency by enabling network operators to integrate diverse vendor components. Nevertheless, the involvement of multiple Network Service Providers (NSPs) and Mobile Network Operators (MNOs) also brings new challenges in the management of computation and network resources. To resolve this challenge, we propose a blockchain-based framework to guarantee secure, transparent, and decentralized resource allocation in O-RAN systems. Our resource allocation mainly considers the tradeoff of cost and service quality. Our design facilitates real-time adjustments to resource distribution based on dynamic network conditions and incorporates user feedback to optimize service quality continuously. By integrating a Proof-of-Reputation (PoR) consensus mechanism, the framework enhances the reliability and integrity of transactions among competing vendors without central oversight. We evaluate the performance of our design through extensive simulations, which demonstrate significant improvements over the baselines in resource utilization and service delivery across various network scenarios. © 2024 IEEE.

关键词： Radio access networks

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Towards Web Platform for Cloud-Based Virtual Commissioning of IEC 61499 Distributed Automation Systems 29

Towards Web Platform for Cloud-Based Virtual Commissioning o...

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29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024

作者： Lyu, Tuojian Nguyen, Tung Rumiantsev, Roman Kolesnikov, Mikhail Perera, Hansani Atmojo, Udayanto Dwi Vyatkin, Valeriy Aalto University Department of Electrical Engineering and Automation Espoo Finland Luleå Tekniska Universitet Department of Computer Science Computer and Space Engineering Sweden

ISBN: (纸本)9798350361230

In this paper, we propose a cloud-based virtual commissioning Web platform for IEC 61499 compliant distributed automation systems that support Create-Read-Update-Delete operations for SoftPLC containers from various versions and provide a remote engineering workstation with an embedded web Integrated Development Environment (IDE), Human Machine Interface (HMI), and 3D simulation models. A water tank use case demonstrates the platform's flexibility, enabling control software testing entirely via a Web browser without local installations. © 2024 IEEE.

关键词： Cloud platforms

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Robust Defense Against Extreme Grid Events Using Dual-Policy Reinforcement Learning Agents

Robust Defense Against Extreme Grid Events Using Dual-Policy...

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2025 IEEE Texas Power and Energy Conference, TPEC 2025

作者： Peter, Benjamin M. Korkali, Mert University of Missouri Department of Electrical Engineering and Computer Science ColumbiaMO65211 United States

ISBN: (纸本)9798331541125

Reinforcement learning (RL) agents are powerful tools for managing power grids. They use large amounts of data to inform their actions and receive rewards or penalties as feedback to learn favorable responses for the system. Once trained, these agents can efficiently make decisions that would be too computationally complex for a human operator. This ability is especially valuable in decarbonizing power networks, where the demand for RL agents is increasing. These agents are well suited to control grid actions since the action space is constantly growing due to uncertainties in renewable generation, microgrid integration, and cybersecurity threats. To assess the efficacy of RL agents in response to an adverse grid event, we use the Grid2Op platform for agent training. We employ a proximal policy optimization (PPO) algorithm in conjunction with graph neural networks (GNNs). By simulating agents' responses to grid events, we assess their performance in avoiding grid failure for as long as possible. The performance of an agent is expressed concisely through its reward function, which helps the agent learn the most optimal ways to reconfigure a grid's topology amidst certain events. To model multi-actor scenarios that threaten modern power networks, particularly those resulting from cyberattacks, we integrate an opponent that acts iteratively against a given agent. This interplay between the RL agent and opponent is utilized in N-k contingency screening, providing a novel alternative to the traditional security assessment. © 2025 IEEE.

关键词： Graph neural networks

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Design and Development of a Peltier Cooling System for Photovoltaic Thermal Management Using Simulation Tools 4

Design and Development of a Peltier Cooling System for Photo...

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4th International Conference on Robotics, electrical and Signal Processing Techniques, ICREST 2025

作者： Oeishee, Moslema Hoque Muyeed, Munyem Ahammad Mehedi, Md. Rejoan Nidhi, Ramisa Sharar Brac University Electrical and Electronic Engineering Department Dhaka Bangladesh Brac University Computer Science and Engineering Department Dhaka Bangladesh

ISBN: (纸本)9798331530938

Mitigating the adverse effect of high temperature on photovoltaic (PV) module's efficiency in hot environment by using a thermoelectric cooling (TEC) method with PV through a detailed analysis, is the pivot objective of this paper. This research evaluates the Peltier module's effect on the power output and temperature of the PV modules in different ambient situations for the active cooling mode of the Peltier module. We utilized PVsyst and MATLAB (for initial circuit designs), as the simulation tools to analyze the performance ratio (PR) and thermal loss factor of the PV system for both with and without cooling conditions. Moreover, under an ambient temperature of 25.2°C, our developed TEC system enhances the PV module's performance ratio ranging from 83.42% to 85.8%, while The thermal loss factor is decreased ranging from -10.36% to -6.7%. These findings indicate that controlled cooling is capable of considerably improving PV performance, resulting in significant energy output rise. In addition to creating new paths to achieve more effective and sustainable energy production, this study demonstrates the way TEC systems might enhance solar energy systems, specifically in hot environments. © 2025 IEEE.

关键词： MATLAB

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Experimental Generation of Biasing Voltage Distribution along a RIS by Using Standing Wave Control

Experimental Generation of Biasing Voltage Distribution alon...

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2025 United States National Committee of URSI National Radio science Meeting, USNC-URSI NRSM 2025

作者： Saavedra-Melo, Miguel Bradshaw, Benjamin Capolino, Filippo Department of Electrical Engineering and Computer Science University of California IrvineCA92697 United States

ISBN: (纸本)9781946815200

A novel method for biasing varactors in a reconfigurable intelligent surface (RIS) has been recently proposed, which uses standing waves on a transmission line (TL) to bias each RIS element, eliminating the need for a complex external biasing network (E. Ayanoglu, F. Capolino, and A. L. Swindlehurst, IEEE Wireless Comm., 29, 4, 86-92, 2022). This method consists of a TL board isolated from the RIS surface to avoid RF interference that supports N resonant standing waves to bias M varactors at xm with m = 1, ..., M. Each varactor receives a dc voltage v(xm), measured at the output of the rectifier, determined by the sum of a base dc voltage, W0, and the N standing waves. This allows for a specific reflection phase distribution, αm, to be created over the RIS to control the reflection pattern. The standing waves are generated using a single port, where a periodic time-domain signal is injected into the TL (M. Saavedra-Melo, K. Rouhi, and F. Capolino, IEEE AP-S/URSI, 2023). This method also uses a unit cell model (D. Hanna, M. Saavedra-Melo, F. Shan, and F. Capolino, IEEE AP-S/URSI, 2022) that accounts for a realistic reflection response of the unit cell, enhancing the method's accuracy. © 2025 USNC-URSI.

关键词： Electric rectifiers

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International Journal of Information and Communication Technology 2024年第2期24卷 145-155页

作者： Wang, Kaiku Huang, Congkuan Yang, Yang Department of Computer Science and Technology Beijing University of Aeronautics and Astronautics Beijing100191 China Department of Electrical Engineering and Automation Hefei University of Technology Hefei230009 China

Aiming at the problem of low precision and large cleaning error in multi-link similar data mining, a multi-link similar data mining cleaning method based on Bayesian algorithm is proposed in this paper. On the basis of extracting multi-link data, the data is preprocessed and the similarity between the data is calculated. The data with high similarity is input into the Bayesian network, and the data cleaning process is completed according to the maximum likelihood value of the data. Experimental results show that the mining accuracy of the proposed method for similar data can reach 98.51%, and the cleaning error is about 1.22%, indicating that the proposed method can more effectively complete the mining and cleaning of similar data in multi-links. Copyright © 2024 Inderscience Enterprises Ltd.

关键词： Directed graphs

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SMT-based Layout Synthesis for Silicon-based Quantum Computing with Crossbar Architecture 24

SMT-based Layout Synthesis for Silicon-based Quantum Computi...

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43rd International Conference on computer-Aided Design, ICCAD 2024

作者： Huang, Sheng-Tan Jiang, Ying-Jie Fang, Shao-Yun Cheng, Chung-Kuan Department of Electrical Engineering National Taiwan University of Science and Technology Taiwan Department of Computer Science and Engineering University of California San Diego United States

ISBN: (纸本)9798400710773

With the announcement of the most advanced silicon spin quantum-bit (qubit) chip by Intel, silicon-based quantum circuit manufacturing technology has shown the superior potential to realize quantum computing to other technologies because of the mature semiconductor manufacturing technologies and the compatibility with electronics. Due to the bottleneck in scalability caused by interconnections in silicon-based quantum circuits, crossbar architectures serve as one of the most promising solutions for circuitry implementation. This paper proposes the first satisfiability modulo theories (SMT) formulation to optimally solve the layout synthesis problem by simultaneously performing scheduling, mapping, and routing for silicon-based quantum systems with a specific crossbar architecture. The experiments demonstrate that the proposed method can effectively generate layout synthesis results with minimal usage of swap and shuttle gates within the shortest circuit depths, and the solutions greatly outperform those derived from a state-of-the-art work. © 2024 Copyright is held by the owner/author(s).

关键词： Qubits

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A generative model for synchrophasor network traffic in smart grids 59

A generative model for synchrophasor network traffic in smar...

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59th Annual Conference on Information sciences and Systems, CISS 2025

作者： Kosta, Leo Leger, Aaron St. United States Military Academy Department of Electrical Engineering and Computer Science NY United States

ISBN: (纸本)9798331513269

Smart grid technologies can revolutionize power distribution. However, engineers can't write the software to realize this goal without large, publicly available datasets. Power companies are reluctant to share the data they collect because of consumer privacy concerns and concerns that they will expose themselves as targets of cyber attacks. We introduce a generative model for one of the most common types of smart grid data: synchrophasor network traffic. Our model can generate an unlimited amount of smart grid data while mitigating risks associated with exposing consumer and network information. Engineers can use our model to prototype smart grid software such as anomaly detection and state estimation. © 2025 IEEE.

关键词： Generative adversarial networks

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