Filters








54 Hits in 7.0 sec

A Fresh Perspective on DNN Accelerators by Performing Holistic Analysis Across Paradigms [article]

Tom Glint, Chandan Kumar Jha, Manu Awasthi, Joycee Mekie
2022 arXiv   pre-print
Our goal in this work is to perform a rigorous comparison among the state-of-the-art accelerators from DNN accelerator paradigms, we have used unique layers from MobileNet, ResNet, BERT, and DLRM of MLPerf  ...  Various DNN accelerators based on Conventional compute Hardware Accelerator (CHA), Near-Data-Processing (NDP) and Processing-in-Memory (PIM) paradigms have been proposed to meet these challenges.  ...  Representative models for DNN accelerator paradigms A fine-grained analysis of all DNN accelerators belonging to CHA, NDP, and PIM is beyond the scope of this work.  ... 
arXiv:2208.05294v1 fatcat:6hytqxnxc5hwxeiypfs7ehrnmm

Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications [article]

Khaled B. Letaief, Yuanming Shi, Jianmin Lu, Jianhua Lu
2021 arXiv   pre-print
New design principles of wireless networks, service-driven resource allocation optimization methods, as well as a holistic end-to-end system architecture to support edge AI will be described.  ...  By embedding model training and inference capabilities into the network edge, edge AI stands out as a disruptive technology for 6G to seamlessly integrate sensing, communication, computation, and intelligence  ...  The energy consumption of executing a DNN model is highly dictated by the computation architecture and methods (e.g., ultra-low power compute-in-memory AI accelerator) at the edge computation nodes [249  ... 
arXiv:2111.12444v1 fatcat:crrbtfylvjeihogumggdnxcbpq

You Can't See the Forest for Its Trees: Assessing Deep Neural Network Testing via NeuraL Coverage [article]

Yuanyuan Yuan, Qi Pang, Shuai Wang
2021 arXiv   pre-print
Its capacity to discover DNN prediction errors is promising. Test input mutation guided by NLC result in a greater quality and diversity of exposed erroneous behaviors.  ...  We demonstrate that NLC is significantly correlated with the diversity of a test suite across a number of tasks (classification and generation) and data formats (image and text).  ...  This work initializes a fresh and principled view on designing DNN coverage criteria, by assessing test inputs in terms of its induced neuron and layer output distributions.  ... 
arXiv:2112.01955v1 fatcat:inbz5nfbundfrgkc2nb6oj4kfm

Pervasive AI for IoT Applications: Resource-efficient Distributed Artificial Intelligence [article]

Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani
2021 arXiv   pre-print
Next, we provide a deep literature review of communication-efficient techniques, from both algorithmic and system perspectives, of distributed inference, training and online learning tasks across the combination  ...  Designing accurate models using such data streams, to predict future insights and revolutionize the decision-taking process, inaugurates pervasive systems as a worthy paradigm for a better quality-of-life  ...  ACKNOWLEDGMENT This work was made possible by NPRP grant NPRP12S-0305-190231 and NPRP13S-0205-200265 from the Qatar National Research Fund (a member of Qatar Foundation).  ... 
arXiv:2105.01798v1 fatcat:4tnq2wjw4bcqdfvhnoij55s2rm

Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing [article]

Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng, Marco Levorato, Yonina C. Eldar, M'erouane Debbah
2022 arXiv   pre-print
In particular, typical performance metrics for dual-functional learning and communication networks are discussed.  ...  The application of EL techniques within a variety of future communication systems are also envisioned for beyond 5G (B5G) wireless networks.  ...  Early works on AirComp have concentrated on performance analysis and transceiver optimization regarding the average computation MSE.  ... 
arXiv:2206.00422v1 fatcat:osp426emrngi3bvye6fmk7kqce

Top-Down Networks: A coarse-to-fine reimagination of CNNs

Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
On the contrary, CNNs employ a fine-to-coarse processing, moving from local, edge-detecting filters to more global ones extracting abstract representations of the input.  ...  This coarse-to-fine pathway, by blurring out higher frequency information and restoring it only at later stages, offers a line of defence against attacks introducing high frequency noise.  ...  This paper principally aims to introduce a fresh perspective to the deep learning literature.  ... 
doi:10.1109/cvprw50498.2020.00384 dblp:conf/cvpr/LelekasTPG20 fatcat:pzr5ta4oirh7vdimq3jjbscsla

A Survey on Deep Learning for Ultra-Reliable and Low-Latency Communications Challenges on 6G Wireless Systems

Adeeb Salh, Lukman Audah, Nor Shahida Mohd Shah, Abdulraqeb Alhammadi, Qazwan Abdullah, Yun Hee Kim, Samir A. Al-Gailani, Shipun A. Hamzah, Bashar A. F. Esmail, Akram A. Almohammedi
2021 IEEE Access  
The data-driven network is a novel service paradigm that offers a new application for the future of 6G wireless communication and network architecture.  ...  The improvement mainly depends on using the training process in unsupervised learning by developing data-driven resource management.  ...  In addition, edge computing achieves a high capacity and improves accuracy by utilizing predictive data analysis and ML in real-time for the holistic view of AI.  ... 
doi:10.1109/access.2021.3069707 fatcat:v5om5kdtpze3vcxm6tko3efha4

A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges [article]

Görkem Giray
2021 arXiv   pre-print
Method: I performed a systematic literature review (SLR).  ...  I systematically selected a pool of 141 studies from SE venues and then conducted a quantitative and qualitative analysis using the data extracted from these studies.  ...  focused on debugging and fixing confidence errors in DNNs. By doing so, they intend to understand correctly when a model works well and when not .  ... 
arXiv:2012.07919v3 fatcat:pln6vu5jgjcxfd2m42mu37m2gm

Distributed Intelligence in Wireless Networks [article]

Xiaolan Liu and Jiadong Yu and Yuanwei Liu and Yue Gao and Toktam Mahmoodi and Sangarapillai Lambotharan and Danny H. K. Tsang
2022 arXiv   pre-print
In this paper, we conduct a comprehensive overview of recent advances in distributed intelligence in wireless networks under the umbrella of native-AI wireless networks, with a focus on the basic concepts  ...  (e.g., video/audio surveillance and personal recommendation system) by enabling intelligent decision making on computing at the point of data generation as and when it is needed, and distributed Machine  ...  In [16] , the authors pointed out a potential research direction on the comprehensive analysis of the balance between multiple performance improvement strategies and time consumption.  ... 
arXiv:2208.00545v1 fatcat:znfxcsceifevvbccog4yz5mkji

A Full Dive into Realizing the Edge-enabled Metaverse: Visions, Enabling Technologies,and Challenges [article]

Minrui Xu, Wei Chong Ng, Wei Yang Bryan Lim, Jiawen Kang, Zehui Xiong, Dusit Niyato, Qiang Yang, Xuemin Sherman Shen, Chunyan Miao
2022 arXiv   pre-print
In this survey, we focus on the edge-enabled Metaverse to realize its ultimate vision.  ...  We first provide readers with a succinct tutorial of the Metaverse, an introduction to the architecture, as well as current developments.  ...  , we have discussed computation paradigms from a general perspective.  ... 
arXiv:2203.05471v2 fatcat:jhl66faxw5clnopsb5rbsopzoq

A Survey of Networking Applications Applying the Software Defined Networking Concept Based on Machine Learning

Yanling Zhao, Ye Li, Xinchang Zhang, Guanggang Geng, Wei Zhang, Yanjie Sun
2019 IEEE Access  
From the perspective of ML algorithms, this paper focuses on the applications of classical ML algorithms in SDN-based networks, after a characteristic analysis of algorithms.  ...  This paper presents the network applications combined with SDN concepts based on ML from two perspectives, namely the perspective of ML algorithms and SDN network applications.  ...  TABLE 4 . 4 SDN-concept network applications and performance analysis ML algorithms. FIGURE 2 . 2 RL with policy presented via DNN.  ... 
doi:10.1109/access.2019.2928564 fatcat:r4ds5ot6u5a3tl4wzdvahwb7xa

A Roadmap for Big Model [article]

Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han (+88 others)
2022 arXiv   pre-print
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm.  ...  At the end of this paper, we conclude the further development of BMs in a more general view.  ...  DNN.  ... 
arXiv:2203.14101v4 fatcat:rdikzudoezak5b36cf6hhne5u4

Vineyard In The Hipeac Newsletter Info 49 [article]

Christoforos Kachris
2017 Zenodo  
The article can be found on page 25.  ...  The deployment of energy-efficient hardware accelerators will permit the significant improvement in the performance of cloud computing applications and the reduction of energy consumption in data centres  ...  Using CK, ARM were able to obtain valuable insights into performance of their products in a fraction of the time required by conventional analysis.  ... 
doi:10.5281/zenodo.836721 fatcat:brmjihobtze47pv3b4cetbm67u

Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges [article]

Wanting Yang, Hongyang Du, Ziqin Liew, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xuefen Chi, Xuemin Sherman Shen, Chunyan Miao
2022 arXiv   pre-print
to become a new core paradigm in 6G.  ...  While SemCom is expected to progress beyond the classical Shannon paradigm, several obstacles need to be overcome on the way to a SemCom-enabled smart wireless Internet.  ...  However, the above analysis is again only based on a toy model.  ... 
arXiv:2207.00427v1 fatcat:uju2oufi25d7jdyh7zynjvbsii

Vehicle Routing Optimization for Pandemic Containment: A Systematic Review on Applications and Solution Approaches

Keyong Lin, S. Nurmaya Musa, Hwa Jen Yap
2022 Sustainability  
As such, this study aimed to conduct a comprehensive review of research on the vehicle routing problem (VRP) from a sustainable viewpoint during the pandemic and explore viable delivery solutions that  ...  In summary, the goal of this research is to provide an overview of the literature on the application of VRPs in pandemic control and to assist academics and practitioners in learning more about the performance  ...  Research Methodology In this study, a systematic literature review (SLR) strategy was undertaken. The SLR has been proven to be a holistic paradigm for use in literature reviews [48] .  ... 
doi:10.3390/su14042053 fatcat:37bhzabh7jbzvgnbnspjefzyoi
« Previous Showing results 1 — 15 out of 54 results