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检索条件"机构=Department of Electrical and Computer Engineering and Computer Systems Laboratory"
66663 条 记 录,以下是4851-4860 订阅
排序:
PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning
PedFormer: Pedestrian Behavior Prediction via Cross-Modal At...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Amir Rasouli Iuliia Kotseruba Noah's Ark Laboratory Huawei Canada Department of Computer Science and Electrical Engineering York University Toronto Canada
Predicting pedestrian behavior is a crucial task for intelligent driving systems. Accurate predictions require a deep understanding of various contextual elements that could impact the way pedestrians behave. To addre...
来源: 评论
Two-Player Multiagent Graphical Games with Reinforcement Learning*
Two-Player Multiagent Graphical Games with Reinforcement Lea...
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Industrial Cyber-Physical systems (ICPS)
作者: Bosen Lian Jiacheng Wu Electrical and Computer Engineering Department Auburn University Auburn AL USA State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China
This paper studies the synchronization problem of two-player multiagent systems through reinforcement learning methods. A Nash-minmax strategy is formulated, where the interactions of two players in the same agent are... 详细信息
来源: 评论
Explainable-AI-based two-stage solution for WSN object localization using zero-touch mobile transceivers
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Science China(Information Sciences) 2024年 第7期67卷 27-45页
作者: Kai FANG Junxin CHEN Han ZHU Thippa Reddy GADEKALLU Xiaoping WU Wei WANG School of Mathematics and Computer Science Zhejiang A&F University School of Software Dalian University of Technology Faculty of Applied Sciences Macao Polytechnic University Department of Electrical and Computer Engineering Lebanese American University School of Information Engineering Huzhou University Guangdong-Hong Kong-Macao Joint Laboratory for Emotional Intelligence and Pervasive Computing Artificial Intelligence Research Institute Shenzhen MSU-BIT University
Artificial intelligence technology is widely used in the field of wireless sensor networks(WSN).Due to its inexplicability, the interference factors in the process of WSN object localization cannot be effectively elim... 详细信息
来源: 评论
Adversarial Attacks on Deep Neural Networks using Generative Perturbation Networks
Adversarial Attacks on Deep Neural Networks using Generative...
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International Conference on Ubiquitous and Future Networks, ICUFN
作者: Sudharman K. Jayaweera Department of Electrical and Computer Engineering Communications and Information Sciences Laboratory (CISL) University of New Mexico Albuquerque NM USA
A new deep learning (DL) network called Generative Perturbation Network (GPN) is proposed. The GPNs are capable of learning to modify inputs to deep neural network (DNN) models trained to classify images in impercepti...
来源: 评论
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem
arXiv
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arXiv 2023年
作者: Cao, Jincheng Jiang, Ruichen Abolfazli, Nazanin Hamedani, Erfan Yazdandoost Mokhtari, Aryan Department of Electrical and Computer Engineering The University of Texas AustinTX United States Department of Systems and Industrial Engineering The University of Arizona TucsonAZ United States
In this paper, we study a class of stochastic bilevel optimization problems, also known as stochastic simple bilevel optimization, where we minimize a smooth stochastic objective function over the optimal solution set... 详细信息
来源: 评论
BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration
arXiv
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arXiv 2024年
作者: Chen, Yuzong AbouElhamayed, Ahmed F. Dai, Xilai Wang, Yang Andronic, Marta Constantinides, George A. Abdelfattah, Mohamed S. Computer Systems Lab Cornell University United States Systems and Networking Research Group Microsoft Research United States Department of Electrical and Electronic Engineering Imperial College London United Kingdom
Large language models (LLMs) have demonstrated remarkable performance across various machine learning tasks. Yet the substantial memory footprint of LLMs significantly hinders their deployment. In this paper, we impro...
来源: 评论
Hierarchical Micro-Segmentations for Zero-Trust Services via Large Language Model (LLM)-enhanced Graph Diffusion
arXiv
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arXiv 2024年
作者: Liu, Yinqiu Liu, Guangyuan Du, Hongyang Niyato, Dusit Kang, Jiawen Xiong, Zehui In Kim, Dong Shen, Xuemin College of Computing and Data Science Nanyang Technological University Singapore School of Automation Guangdong University of Technology China Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore Department of Electrical and Computer Engineering Sungkyunkwan University Korea Republic of Department of Electrical and Computer Engineering University of Waterloo Canada
—In the rapidly evolving Next-Generation Networking (NGN) era, the adoption of zero-trust architectures has become increasingly crucial to protect security. However, provisioning zero-trust services in NGNs poses sig... 详细信息
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Differentially Private Online Federated Learning with Correlated Noise
arXiv
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arXiv 2024年
作者: Zhang, Jiaojiao Zhu, Linglingzhi Johansson, Mikael Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology StockholmSE-100 44 Sweden Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong Hong Kong
We introduce a novel differentially private algorithm for online federated learning that employs temporally correlated noise to enhance utility while ensuring privacy of continuously released models. To address challe... 详细信息
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Distributed and Rate-Adaptive Feature Compression
arXiv
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arXiv 2024年
作者: Deshmukh, Aditya Veeravalli, Venugopal V. Verma, Gunjan Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign ChampaignIL United States Army Research Laboratory AdelphiMD United States
We study the problem of distributed and rateadaptive feature compression for linear regression. A set of distributed sensors collect disjoint features of regressor data. A fusion center is assumed to contain a pretrai... 详细信息
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Autonomous Patrol and Threat Detection Through Integrated Mapping and computer Vision
Autonomous Patrol and Threat Detection Through Integrated Ma...
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IEEE International Conference on Electro-Information Technology
作者: Robert Soler Alae Moudni Gabriel Roskowski Xinrui Yu Mikhail Gormov Jafar Saniie Department of Electrical and Computer Engineering Embedded Computing and Signal Processing (ECASP) Research Laboratory Illinois Institute of Technology Chicago IL U.S.A.
This paper presents the creation of an innovative autonomous security robot designed to perform security functions with efficiency and reliability. The robot boasts mapping capabilities, which it utilizes to facilitat... 详细信息
来源: 评论