Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

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Items 301–400 of 2,413

1. DeepMDP: A Novel Deep-Learning-Based Missing Data Prediction Protocol for IoT
   İbrahim Kök, Suat Özdemi̇r · 2020 · IEEE Internet of Things Journal
2. Online Traffic Flow Prediction for Edge Computing-Enhanced Autonomous and Connected Vehicles
   Xiaoxiang Song, Yan Guo, Ning Li · 2021 · IEEE Transactions on Vehicular Technology
3. EC²Detect: Real-Time Online Video Object Detection in Edge-Cloud Collaborative IoT
   Siyan Guo, Cong Zhao, Guiqin Wang, Jiaqing Yang, Shusen Yang · 2022 · IEEE Internet of Things Journal
4. A Lightweight YOLOv4-EDAM Model for Accurate and Real-time Detection of Foreign Objects Suspended on Power Lines
   Zhibin Qiu, Xuan Zhu, Caibo Liao, Wenqian Qu, Yanzhen Yu · 2022 · IEEE Transactions on Power Delivery
5. AI-Driven Learning Management Systems: Modern Developments, Challenges and Future Trends during the Age of ChatGPT
   Sameer Qazi, Muhammad Bilal Kadri, Muhammad Naveed, Bilal A. Khawaja, Sohaib Z. Khan, Muhammad Mansoor Alam, Mazliham Mohd Su’ud · 2024 · Computers, materials & continua/Computers, materials & continua (Print)
6. A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT
   Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li · 2021 · IEEE Internet of Things Journal
7. Distributed Intelligence in the Internet of Things: Challenges and Opportunities
   Tariq Alsboui, Yongrui Qin, Richard Child Hill, Hussain Al-Aqrabi · 2021 · SN Computer Science
8. AI-Bazaar: A Cloud-Edge Computing Power Trading Framework for Ubiquitous AI Services
   Xiaoxu Ren, Chao Qiu, Xiaofei Wang, Zhu Han, Ke Xu, Haipeng Yao, Song Guo · 2022 · IEEE Transactions on Cloud Computing
9. Joint Device Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Industrial Internet of Things
   Xiuzhao Ji, Jie Tian, Hai-Xia Zhang, Da-Lei Wu, Tian-Tian Li · 2023 · IEEE Internet of Things Journal
10. Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-Supervised Learning Approach
    Yong Xiao, Rong Xia, Yingyu Li, Guangming Shi, Diep Ngoc Nguyen, Dinh Thai Hoang, Dusit Tao Niyato, Marwan Krunz · 2023 · IEEE Transactions on Mobile Computing
11. Scalable and Communication-Efficient Decentralized Federated Edge Learning with Multi-blockchain Framework
    Jiawen Kang, Zehui Xiong, Chunxiao Jiang, Yi Liu, Song Guo, Yang Zhang, Dusit Tao Niyato, Cyril Leung, Chunyan Miao · 2020 · Communications in computer and information science
12. Accelerating Edge Intelligence via Integrated Sensing and Communication
    Tong Zhang, Shuai Wang, Guoliang Li, Fan Liu, Guangxu Zhu, Rui Wang · 2022 · International Conference on Communications
13. On-device machine learning An algorithms and learning theory perspective
    Dhar, Sauptik, Guo, Junyao, Liu, Jiayi, Tripathi, Samarth, Kurup, Unmesh, Shah, Mohak · 2019 · arXiv
14. On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective
    Qihua Zhou, Zhihao Qu, Song Guo, Boyuan Luo, Jingcai Guo, Zhenda Xu, Rajendra A. Akerkar · 2021 · IEEE Internet of Things Journal
15. Green Edge Intelligence for Smart Management of a FANET in Disaster-Recovery Scenarios
    Giuseppe Faraci, Santi Agatino Rizzo, Giovanni Schembra · 2023 · IEEE Transactions on Vehicular Technology
16. The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G
    Mattia Merluzzi, Tamás Borsos, Nandana Rajatheva et al. · 2023 · IEEE Access
17. Traffic big data assisted V2X communications toward smart transportation
    Chang An, Celimuge Wu · 2019 · Wireless Networks
18. Communication-Efficient Federated Edge Learning via Optimal Probabilistic Device Scheduling
    Maojun Zhang, Guangxu Zhu, Shuai Wang, Jiamo Jiang, Qing Liao, Caijun Zhong, Shuguang Robert Cui · 2022 · IEEE Transactions on Wireless Communications
19. Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference
    Shengyuan Ye, Jiangsu Du, Liekang Zeng, Wenzhong Ou, Xiaowen Chu, Yutong Lu, Xu Chen · 2024 · IEEE Conference on Computer Communications (INFOCOM)
20. From Connected People, Connected Things, to Connected Intelligence
    Yan Chen, Peiying Zhu, Gaoning He, Xueqiang Yan, Hadi Baligh, Jianjun Wu · 2020 · Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)
21. Optimization of Edge-PLC-Based Fault Diagnosis With Random Forest in Industrial Internet of Things
    Peng Liu, Yifan Zhang, Huifeng Wu, Tingting Fu · 2020 · IEEE Internet of Things Journal
22. Learning-Driven Decentralized Machine Learning in Resource-Constrained Wireless Edge Computing
    Zeyu Meng, Hongli Xu, Min Chen, Yang Xu, Yangming Zhao, Chunming Qiao · 2021 · IEEE Conference on Computer Communications (INFOCOM)
23. The Many Faces of Edge Intelligence
    Ella Peltonen, Ijaz Ahmad, Atakan Aral, Michele Capobianco, Aaron Yi Ding, Felipe Gil‐Castiñeira, Ekaterina Gilman, Erkki Harjula, Marko Jurmu, Teemu Karvonen et al. · 2022 · IEEE Access
24. Enabling AI in future wireless networks: a data life cycle perspective
    Dinh C. Nguyen, Peng Cheng, Ming Ding, David López‐Pérez, Pubudu Nishantha Pathirana, Jun Li, Aruna Prasad Seneviratne, Yonghui Li, H. Vincent Poor · 2024 · Figshare
25. Proactive measures to prevent conveyor belt Failures: Deep Learning-based faster foreign object detection
    Mengchao Zhang, Yueshuai Cao, Kai Yong Jiang · 2022 · Engineering Failure Analysis
26. Federated Learning With Client Selection and Gradient Compression in Heterogeneous Edge Systems
    Yang Xu, Zhida Jiang, Hongli Xu, Zhiyuan Wang, Chen Qian, Chunming Qiao · 2023 · IEEE Transactions on Mobile Computing
27. Dynamic Sample Selection for Federated Learning with Heterogeneous Data in Fog Computing
    Lingshuang Cai, Di Lin, Jiale Zhang, Shui Yu · 2020 · International Conference on Communications
28. Intelligent Offloading for NOMA-Assisted MEC via Dual Connectivity
    Changxiang Li, Hong Wang, Rongfang Song · 2020 · IEEE Internet of Things Journal
29. Deep data plane programming and AI for zero-trust self-driven networking in beyond 5G
    Othmane Hireche, Chafika Benzaïd, Tarik Taleb · 2021 · Computer Networks
30. Ensemble Federated Learning With Non-IID Data in Wireless Networks
    Zhongyuan Zhao, Jingyi Wang, Wei Hong, Tony Q. S. Quek, Zhiguo Ding, Mugen Peng · 2023 · IEEE Transactions on Wireless Communications
31. Blockchain-Based Trustworthy and Efficient Hierarchical Federated Learning for UAV-Enabled IoT Networks
    Ziheng Tong, Jingjing Wang, Xiangwang Hou, Jianrui Chen, Zihan Jiao, Jianwei Liu · 2024 · IEEE Internet of Things Journal
32. Convergence of Recommender Systems and Edge Computing: A Comprehensive Survey
    Chuan Sun, Hui Li, Xiuhua Li, Junhao Wen, Qingyu Xiong, Wei Guo Zhou · 2020 · IEEE Access
33. Topology Poisoning Attack in SDN-Enabled Vehicular Edge Network
    Jiadai Wang, Yawen Tan, Jiajia Liu, Yanning Zhang · 2020 · IEEE Internet of Things Journal
34. Personalized QoE Improvement for Networking Video Service
    Yun Gao, Xin Wei, Liang Zhou · 2020 · IEEE Journal on Selected Areas in Communications
35. Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer
    Qun-Song Zeng, Yu-Qing Du, Kai-Bin Huang · 2021 · IEEE Transactions on Wireless Communications
36. TailorFL
    Yongheng Deng, Weining Chen, Ju Ren, Feng Lyu, Yang Liu, Yunxin Liu, Yaoxue Zhang · 2022 · ACM Conference on Embedded Networked Sensor Systems (SenSys)
37. Introducing edge intelligence to smart meters via federated split learning
    Yehui Li, Dalin Qin, H. Vincent Poor, Yi Wang · 2024 · Nature Communications
38. Humanoid electronic-skin technology for the era of Artificial Intelligence of Things
    Huiyun Zhang, Jianlong Hong, Jianxiong Zhu, Shengshun Duan, Meili Xia, Jiyuan Chen, Borong Sun, Mingxuan Xi, Feixiang Gao, Yukun Xiao et al. · 2025 · Matter
39. Cybersecurity in vehicle-to-grid (V2G) systems: A systematic review
    Mohammad A. Razzaque, Shafi Khadem, Sandipan Patra, Glory Okwata, Md. Noor‐A‐Rahim · 2025 · Applied Energy
40. Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning
    Sheng Yue, Ju Ren, Jiang Xin, Sen Lin, Junshan Zhang · 2021 · ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc)
41. IoT based intelligence for proactive waste management in Quick Service Restaurants
    Kerem Aytaç, Ömer Korçak · 2020 · Journal of Cleaner Production
42. Cost-Efficient Continuous Edge Learning for Artificial Intelligence of Things
    Lin Jia, Zhi Zhou, Fei Xu, Hai Jin · 2021 · IEEE Internet of Things Journal
43. A compressed sensing and CNN‐based method for fault diagnosis of photovoltaic inverters in edge computing scenarios
    Xinyi Wang, Bo Yang, Zhaojian Wang, Qi Liu, Cailian Chen, Xinping Guan · 2022 · IET Renewable Power Generation
44. Towards explainable AI for hyperspectral image classification in Edge Computing environments
    Gianluca De Lucia, Marco Lapegna, Diego Romano · 2022 · Computers & Electrical Engineering
45. Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics
    Dianhui Wang, Gang Dang · 2024 · IEEE Transactions on Fuzzy Systems
46. Low Power Processors and Image Sensors for Vision-Based IoT Devices: A Review
    Malith Maheepala, Matthew Joordens, Abbas Z. Kouzani · 2020 · IEEE Sensors Journal
47. EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices
    Weiwei W. Fang, Xue Feng, Yi Ding, Naixue N. Xiong, Victor C. M. Leung · 2020 · IEEE Transactions on Industrial Informatics
48. D2D-Assisted Federated Learning in Mobile Edge Computing Networks
    Xueqing Zhang, Yanwei Liu, Jinxia Liu, Antonios Argyriou, Yanni Han · 2021 · IEEE Wireless Communications and Networking Conference
49. Deploying Federated Learning in Large-Scale Cellular Networks: Spatial Convergence Analysis
    Zhenyi Lin, Xiao-Yang Li, Vincent K. N. Lau, Yi Gong, Kai-Bin Huang · 2021 · IEEE Transactions on Wireless Communications
50. Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies
    Xubin Wang, Weijia Jia B · 2025 · Qeios
51. Application and Research of IoT Architecture for End-Net-Cloud Edge Computing
    Yongqiang Zhang, Hongchang Yu, Wanzhen Zhou, Menghua Man · 2022 · Electronics
52. When AI meets sustainable 6G
    Xiaohu You, Yongming Huang, Cheng Long Zhang, Jiaheng Wang, Hao Yin, Hequan Wu · 2024 · Science China Information Sciences
53. pAElla: Edge AI-Based Real-Time Malware Detection in Data Centers
    Antonio Libri, Andrea Bartolini, Luca Benini · 2020 · IEEE Internet of Things Journal
54. A Demand-driven, Proactive Tasks Management Model at the Edge
    Anna Karanika, Panagiotis Oikonomou, Kostas Kolomvatsos, Thanasis Loukopoulos · 2020 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
55. Monetizing Edge Service in Mobile Internet Ecosystem
    Zhiyuan Wang, Lin Xia Gao, Tong Wang, Jingjing Luo · 2020 · IEEE Transactions on Mobile Computing
56. Ensuring the Security and Performance of IoT Communication by Improving Encryption and Decryption With the Lightweight Cipher uBlock
    Chengjian Liu, Yiwei Zhang, Jiajun Xu · 2022 · IEEE Systems Journal
57. Communication-efficient semi-synchronous hierarchical federated learning with balanced training in heterogeneous IoT edge environments
    Mohammad Sadeq Garshasbi · 2022 · Internet of Things
58. Distributed Over-the-Air Computing for Fast Distributed Optimization: Beamforming Design and Convergence Analysis
    Zhenyi Lin, Yi Gong, Kai-Bin Huang · 2022 · IEEE Journal on Selected Areas in Communications
59. Decentralized Machine Learning Through Experience-Driven Method in Edge Networks
    Hongli Xu, Min Chen, Zeyu Meng, Yang Xu, Lun Wang, Chunming Qiao · 2021 · IEEE Journal on Selected Areas in Communications
60. Mobility-Aware Offloading and Resource Allocation in NOMA-MEC Systems via DC
    Changxiang Li, Hong Wang, Rongfang Song · 2022 · IEEE Communications Letters
61. A Review of Intelligent Computation Offloading in Multiaccess Edge Computing
    Hengli Jin, Mark A Gregory, Shuo Li · 2022 · IEEE Access
62. Joint Task and Computing Resource Allocation in Distributed Edge Computing Systems via Multi-Agent Deep Reinforcement Learning
    Yan Chen, Yanjing Sun, Hao Yu, Tarik Taleb · 2024 · IEEE Transactions on Network Science and Engineering
63. Resource-Efficient Generative Mobile Edge Networks in 6G Era: Fundamentals, Framework and Case Study
    Bingkun Lai, Jin-Bo Wen, Jiawen Kang, Hong-Yang Du, Jiang-Tian Nie, Chang-Yan Yi, Dong In Kim, Shengli Xie · 2023 · IEEE wireless communications
64. Dynamic Pricing for Resource-Quota Sharing in Multi-Access Edge Computing
    Marie Siew, Desmond W. H. Cai, Lingxiang Li, Tony Q. S. Quek · 2020 · IEEE Transactions on Network Science and Engineering
65. Collaborative Edge Computing and Caching With Deep Reinforcement Learning Decision Agents
    Jianji Ren, Haichao Wang, Tingting Hou, Shuai Zheng, Chaosheng Tang · 2020 · IEEE Access
66. A Survey on Edge Intelligence and Lightweight Machine Learning Support for Future Applications and Services
    Kyle Hoffpauir, Jacob Simmons, Nikolas Schmidt, Rachitha Pittala, Isaac Briggs, Shanmukha Makani, Yaser Jararweh · 2023 · Journal of Data and Information Quality
67. Federated Learning With Dynamic Epoch Adjustment and Collaborative Training in Mobile Edge Computing
    Tianao Xiang, Yuanguo Bi, Xiangyi Chen, Yuan Liu, Boyang Wang, Xuemin Shen, Xingwei Wang · 2023 · IEEE Transactions on Mobile Computing
68. Edge Intelligence for Smart Grid: A Survey on Application Potentials
    Hoay Beng Gooi, Tianjing Wang, Yong Tang · 2023 · CSEE Journal of Power and Energy Systems
69. A Survey on Integrating Edge Computing With AI and Blockchain in Maritime Domain, Aerial Systems, IoT, and Industry 4.0
    Amad Alnahdi, László Toka · 2024 · IEEE Access
70. Dynamic Compression Ratio Selection for Edge Inference Systems With Hard Deadlines
    Xiufeng Huang, Sheng Zhou · 2020 · IEEE Internet of Things Journal
71. Petrel: Heterogeneity-Aware Distributed Deep Learning Via Hybrid Synchronization
    Qihua Zhou, Song Guo, Zhihao Qu, Peng Li, Li Li, Minyi Guo, Kun Wang · 2020 · IEEE Transactions on Parallel and Distributed Systems
72. Multi-UAV Placement and User Association in Uplink MIMO Ultra-Dense Wireless Networks
    Nima Nouri, Fahimeh Fazel, Jamshid Abouei · 2021 · IEEE Transactions on Mobile Computing
73. Latency-Aware Task Scheduling in Software-Defined Edge and Cloud Computing With Erasure-Coded Storage Systems
    Jianhang Tang, Mohammad M. Jalalzai, Chen Feng, Zehui Xiong, Yang Zhang · 2022 · IEEE Transactions on Cloud Computing
74. Imtidad: A Reference Architecture and a Case Study on Developing Distributed AI Services for Skin Disease Diagnosis over Cloud, Fog and Edge
    Nourah Fahad Janbi, Rashid Mehmood, Iyad A. Katib, Aiiad Ahmad Albeshri, Juan M. Corchado, Tan Yiğitcanlar · 2022 · Sensors
75. Guarding Machine Learning Hardware Against Physical Side-channel Attacks
    Anuj Dubey, Rosario Cammarota, Vikram Suresh, Aydın Aysu · 2022 · ACM Journal on Emerging Technologies in Computing Systems
76. Multi-Model Running Latency Optimization in an Edge Computing Paradigm
    Peisong Li, Xinheng Wang, Kaizhu Huang · 2022 · Sensors
77. Edge AI as a Service: Configurable Model Deployment and Delay-Energy Optimization With Result Quality Constraints
    Wenyu Zhang, Sherali Zeadally, Wei Li, Haijun Zhang, Jingyi Hou, Victor C. M. Leung · 2022 · IEEE Transactions on Cloud Computing
78. Edge artificial intelligence for big data: a systematic review
    Atefeh Hemmati, Parisa Raoufi, Amir Masoud Rahmani · 2024 · Neural Computing and Applications
79. Edge intelligence based Economic Dispatch for Virtual Power Plant in 5G Internet of Energy
    Dawei Fang, Xin Guan, Lin Lin, Peng Yu, Di Sun, Mohammad Mehedi Hassan · 2019 · Computer Communications
80. A Framework for Edge Intelligent Smart Distribution Grids via Federated Learning
    Nathaniel Hudson, Md. Jakir Hossain, Minoo Hosseinzadeh, Hana Khamfroush, Mahshid Rahnamay‐Naeini, Nasir Ghani · 2021 · International Conference on Computer Communications and Networks (ICCCN)
81. Edge Learning
    Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo · 2021 · ACM Computing Surveys
82. Characterizing the Performance of Accelerated Jetson Edge Devices for Training Deep Learning Models
    Prashanthi S.K, Sai Anuroop Kesanapalli, Yogesh L. Simmhan · 2022 · Proceedings of the ACM on Measurement and Analysis of Computing Systems
83. A Real-Time Underwater Acoustic Telemetry Receiver With Edge Computing for Studying Fish Behavior and Environmental Sensing
    Yang Yang, Robbert Elsinghorst, Jayson J. Martinez · 2022 · IEEE Internet of Things Journal
84. Resource management at the network edge for federated learning
    Silvana Trindade, Luiz F. Bittencourt, Nelson L. S. da Fonseca · 2022 · Digital Communications and Networks
85. ISAC-Accelerated Edge Intelligence: Framework, Optimization, and Analysis
    Tong Zhang, Guoliang Li, Shuai Wang, Guangxu Zhu, Gaojie Chen, Rui Wang · 2023 · IEEE Transactions on Green Communications and Networking
86. Achieving Democracy in Edge Intelligence: A Fog-Based Collaborative Learning Scheme
    Tiehua Zhang, Zhishu Shen, Jiong Jin, Xi Zheng, Atsushi Tagami, Xianghui Cao · 2020 · IEEE Internet of Things Journal
87. Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Networks
    Benjamin Sliwa, Rick Adam, Christian Wietfeld · 2021 · IEEE Transactions on Vehicular Technology
88. Load Balancing for Distributed Intelligent Edge Computing: A State-Based Game Approach
    Fenghui Zhang, Ruilong Deng, Xinsheng Zhao · 2021 · IEEE Transactions on Cognitive Communications and Networking
89. A Methodology and Simulation-Based Toolchain for Estimating Deployment Performance of Smart Collective Services at the Edge
    Roberto Casadei, Giancarlo Fortino, Danilo Pianini, Andrea Placuzzi, Claudio Savaglio, Mirko Viroli D · 2022 · IEEE Internet of Things Journal
90. Artificial Intelligence (AI) and Machine Learning for Multimedia and Edge Information Processing
    Jasmine Kah Phooi Seng, Kenneth Li-Minn Ang, Eno Peter, Anthony C. Mmonyi · 2022 · Electronics
91. Tutti
    Shaoqing Xu, Anfu Zhou, Guixian Wang, Huanhuan Zhang, Xiangyu Li, Jialiang Pei, Huadóng Ma · 2022 · ACM Annual International Conference on Mobile Computing and Networking (MobiCom)
92. In-Network Pooling: Contribution-Aware Allocation Optimization for Computing Power Network in B5G/6G Era
    Zheng Di, Tao Luo, Chao Qiu, Cheng Zhang, Zhutao Liu, Xiaofei Wang, Jing Jiang · 2022 · IEEE Transactions on Network Science and Engineering
93. Tutorial on memristor-based computing for smart edge applications
    Anteneh Gebregiorgis, Abhairaj Singh, Amirreza Yousefzadeh, Dirk J. Wouters, Rajendra Bishnoi, Francky Catthoor, Said Hamdioui · 2023 · Memories - Materials Devices Circuits and Systems
94. Edge intelligence secure frameworks: Current state and future challenges
    Esther Villar-Rodríguez, María Arostegi, Ana I. Torre-Bastida, Cristina Regueiro, Juan López-de-Armentia · 2023 · Computers & Security
95. The Cost of Training Machine Learning Models Over Distributed Data Sources
    Elia Guerra, Francesc Wilhelmi, Marco Miozzo, Paolo Dini · 2023 · IEEE Open Journal of the Communications Society
96. Contemporary advances in multi-access edge computing: A survey of fundamentals, architecture, technologies, deployment cases, security, challenges, and directions
    Mobasshir Mahbub, Raed M. Shubair · 2023 · Journal of Network and Computer Applications
97. Joint Foundation Model Caching and Inference of Generative AI Services for Edge Intelligence
    Minrui Xu, Dusit Tao Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han · 2023 · Globecom
98. Large Language Models and Artificial Intelligence Generated Content Technologies Meet Communication Networks
    Jie Guo, Meiting Wang, Hang Yin, Bin Song, Yuhao Chi, Fei Richard Yu, Chau Yuen · 2024 · IEEE Internet of Things Journal
99. A Vision on Intelligent Medical Service for Emergency on 5G and 6G Communication Era
    Sabuzima Nayak, Ripon Patgiri · 2020 · EAI Endorsed Transactions on Internet of Things
100. Ex Situ Transfer of Bayesian Neural Networks to Resistive Memory‐Based Inference Hardware
     Thomas Dalgaty, Eduardo Esmanhotto, N. Castellani, Damien Querlioz, Elisa Vianello · 2021 · Advanced Intelligent Systems