Search Results - "IEEE transactions on computers"

SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead by Wu, Wentai, He, Ligang, Lin, Weiwei, Mao, Rui, Maple, Carsten, Jarvis, Stephen

“…Federated learning (FL) has attracted increasing attention as a promising approach to driving a vast number of end devices with artificial intelligence…”
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QoS Prediction and Adversarial Attack Protection for Distributed Services Under DLaaS by Liang, Wei, Li, Yuhui, Xu, Jianlong, Qin, Zheng, Zhang, Dafang, Li, Kuan-Ching

“…Deep-Learning-as-a-service (DLaaS) has received increasing attention due to its novelty as a diagram for deploying deep learning techniques. However, DLaaS…”
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Dependent Task Offloading for Edge Computing based on Deep Reinforcement Learning by Wang, Jin, Hu, Jia, Min, Geyong, Zhan, Wenhan, Zomaya, Albert Y., Georgalas, Nektarios

“…Edge computing is an emerging promising computing paradigm that brings computation and storage resources to the network edge, hence significantly reducing the…”
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The Graph Structure of the Generalized Discrete Arnold's Cat Map by Li, Chengqing, Tan, Kai, Feng, Bingbing, Lu, Jinhu

“…Chaotic dynamics is an important source for generating pseudorandom binary sequences (PRBS). Much efforts have been devoted to obtaining period distribution of…”
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Vector-Indistinguishability: Location Dependency Based Privacy Protection for Successive Location Data by Zhao, Ying, Chen, Jinjun

“…With the wide use of GPS enabled devices and Location-Based Services, location privacy has become an increasingly worrying challenge to our community. Existing…”
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A Blockchain-Based Decentralized, Fair and Authenticated Information Sharing Scheme in Zero Trust Internet-of-Things by Liu, Yizhi, Hao, Xiaohan, Ren, Wei, Xiong, Ruoting, Zhu, Tianqing, Choo, Kim-Kwang Raymond, Min, Geyong

“…Internet-of-Things (IoT) are increasingly operating in the zero-trust environments where any devices and systems may be compromised and hence untrusted. In…”
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Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm by Ambusaidi, Mohammed A., Xiangjian He, Nanda, Priyadarsi, Zhiyuan Tan

“…Redundant and irrelevant features in data have caused a long-term problem in network traffic classification. These features not only slow down the process of…”
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A Deep Reinforcement Learning Based Offloading Game in Edge Computing by Zhan, Yufeng, Guo, Song, Li, Peng, Zhang, Jiang

“…Edge computing is a new paradigm to provide strong computing capability at the edge of pervasive radio access networks close to users. A critical research…”
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DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs by Burrello, Alessio, Garofalo, Angelo, Bruschi, Nazareno, Tagliavini, Giuseppe, Rossi, Davide, Conti, Francesco

“…The deployment of Deep Neural Networks (DNNs) on end-nodes at the extreme edge of the Internet-of-Things is a critical enabler to support pervasive Deep…”
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Adaptive Federated Learning on Non-IID Data With Resource Constraint by Zhang, Jie, Guo, Song, Qu, Zhihao, Zeng, Deze, Zhan, Yufeng, Liu, Qifeng, Akerkar, Rajendra

“…Federated learning (FL) has been widely recognized as a promising approach by enabling individual end-devices to cooperatively train a global model without…”
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Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System by Zeng, Deze, Gu, Lin, Guo, Song, Cheng, Zixue, Yu, Shui

“…Traditional standalone embedded system is limited in their functionality, flexibility, and scalability. Fog computing platform, characterized by pushing the…”
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Credit Risk Analysis Using Quantum Computers by Egger, Daniel J., Garcia Gutierrez, Ricardo, Mestre, Jordi Cahue, Woerner, Stefan

“…We present and analyze a quantum algorithm to estimate credit risk more efficiently than Monte Carlo simulations can do on classical computers. More precisely,…”
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Efficient CP-ABE Scheme With Shared Decryption in Cloud Storage by Chen, Ningyu, Li, Jiguo, Zhang, Yichen, Guo, Yuyan

“…Attribute-based encryption (ABE) is a preferred technology used to access control the data stored in the cloud servers. However, in many cases, the authorized…”
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Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning by Bomin Mao, Fadlullah, Zubair Md, Fengxiao Tang, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro

“…Recent years, Software Defined Routers (SDRs) (programmable routers) have emerged as a viable solution to provide a cost-effective packet processing platform…”
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EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks by Liang, Shengwen, Wang, Ying, Liu, Cheng, He, Lei, Li, Huawei, Xu, Dawen, Li, Xiaowei

“…Graph neural networks (GNNs) emerge as a powerful approach to process non-euclidean data structures and have been proved powerful in various application…”
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EIHDP: Edge-Intelligent Hierarchical Dynamic Pricing Based on Cloud-Edge-Client Collaboration for IoT Systems by Wang, Tian, Lu, Yucheng, Wang, Jianhuang, Dai, Hong-Ning, Zheng, Xi, Jia, Weijia

“…Nowadays, IoT systems can better satisfy the service requirements of users with effectively utilizing edge computing resources. Designing an appropriate…”
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BAFL: A Blockchain-Based Asynchronous Federated Learning Framework by Feng, Lei, Zhao, Yiqi, Guo, Shaoyong, Qiu, Xuesong, Li, Wenjing, Yu, Peng

“…As an emerging distributed machine learning (ML) method, federated learning (FL) can protect data privacy through collaborative learning of artificial…”
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Scalable Byzantine Consensus via Hardware-Assisted Secret Sharing by Liu, Jian, Li, Wenting, Karame, Ghassan O., Asokan, N.

“…The surging interest in blockchain technology has revitalized the search for effective Byzantine consensus schemes. In particular, the blockchain community has…”
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Hybrid Method for Minimizing Service Delay in Edge Cloud Computing Through VM Migration and Transmission Power Control by Rodrigues, Tiago Gama, Suto, Katsuya, Nishiyama, Hiroki, Kato, Nei

“…Due to physical limitations, mobile devices are restricted in memory, battery, processing, among other characteristics. This results in many applications that…”
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Design and Analysis of Approximate Compressors for Multiplication by Momeni, Amir, Han, Jie, Montuschi, Paolo, Lombardi, Fabrizio

“…Inexact (or approximate) computing is an attractive paradigm for digital processing at nanometric scales. Inexact computing is particularly interesting for…”
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