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• Energy-Efficient Hybrid Cache Memory Design for Edge-Based AI Inference Using SRAM and ReRAM
  crossref Navaneeth Krishnan, Ram Krishna, Rajesh Kannan Megalingam 2026-05-12T19:46:43Z 置信度 0.70
• Accelerate Multi-view Inference with End-edge Collaborative Computing
  crossref Wangbing Cheng, MinFeng Zhang, Fang Dong, Shucun Fu 2023-06-23T23:57:23Z 置信度 0.70
• SAI: Latency-Aware Satellite Edge LAM Inference with Looped Transformer
  crossref Honggang Yuan, Zixin Wang, Yuning Jiang, Xin Liu 等 2025-09-26T17:34:55Z 置信度 0.70
• Building Efficient Inference Systems for Resource-Constrained Edge AI Deployment
  crossref Xiangyu Li 2026-06-01T15:54:37Z 置信度 0.70
• Adaptive Inference Reinforcement Learning for Task Offloading in Vehicular Edge Computing Systems
  crossref Dian Tang, Xuefei Zhang, Meng Li, Xiaofeng Tao 2020-07-21T21:24:43Z 置信度 0.70
• Inference of 3-D Shape with Edge from Image Brightness
  crossref Wen Biao Jiang, Hai Yuan Wu, Tadayoshi Shioyama 2023-05-23T05:44:29Z 置信度 0.70
• TensorRT Optimization of YOLOv9 for Real-time Edge Inference Under Multiple Power Modes
  crossref Jie-Hong Hou, Shih-Wen Chen 2025-10-27T17:53:54Z 置信度 0.70
• Tango: Low Latency Multi-DNN Inference on Heterogeneous Edge Platforms
  crossref Zain Taufique, Aman Vyas, Antonio Miele, Pasi Liljeberg 等 2025-01-02T19:17:19Z 置信度 0.70
• HALO: Semantic-Aware Distributed LLM Inference in Lossy Edge Network
  crossref Peirong Zheng, Wenchao Xu, Haozhao Wang, Jinyu Chen 等 2026-06-29T19:38:15Z 置信度 0.70
• Enhancing Edge Performance: A Comparative Analysis of LSTM Inference Using Hardware Acceleration
  crossref Sagar Mhatre, Vinitkumar Jayaprakash Dongre, Sudhakar Mande 2025-04-25T17:38:13Z 置信度 0.70
• Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference
  crossref Huaiguang Cai, Zhi Zhou, Qianyi Huang 2024-08-12T17:25:41Z 置信度 0.70
• Accelerating Native Inference Model Performance in Edge Devices using TensorRT
  crossref Gopikrishna P B, Rubell Marion Lincy G, Abhishek Rishekeeshan, Deekshitha 2024-10-01T13:23:12Z 置信度 0.70
• Secure eFPGA-Enabled Edge LLM Inference: Architectural and Hardware Countermeasures
  crossref Voktho Das, M Zafir Sadik Khan, Jafar Vafaei, Kimia Azar 等 2026-06-18T20:06:49Z 置信度 0.70
• CarbonEdge: Carbon-Aware Deep Learning Inference Framework for Sustainable Edge Computing
  crossref Guilin Zhang, Wulan Guo, Ziqi Tan, Chuanyi Sun 等 2026-07-03T19:49:45Z 置信度 0.70
• eNODE: Energy-Efficient and Low-Latency Edge Inference and Training of Neural ODEs
  crossref Junkang Zhu, Yaoyu Tao, Zhengya Zhang 2023-03-24T17:42:55Z 置信度 0.70
• Bayesian Analysis of Dynamic Network Regression with Joint Edge/Vertex Dynamics
  crossref Zack W. Almquist, Carter T. Butts 2014-11-15T03:59:35Z 置信度 0.70
• Efficient Dynamic Fixed-Point Quantization of CNN Inference Accelerators for Edge Devices
  crossref Yueh-Chi Wu, Chih- Tsun Huang 2019-06-21T02:19:04Z 置信度 0.70
• Preva: Protecting Inference Privacy through Policy-based Video-frame Transformation
  crossref Rui Lu, Siping Shi, Dan Wang, Chuang Hu 等 2023-01-02T19:16:06Z 置信度 0.70
• Low-Latency Asynchronous Logic Design for Inference at the Edge
  crossref Adrian Wheeldon, Alex Yakovlev, Rishad Shafik, Jordan Morris 2021-08-24T22:11:46Z 置信度 0.70
• Adaptive partitioning of DNNs for resource-efficient inference on edge clusters
  crossref Azra Nazir, Faisal Rasheed Lone, Ashfaq Ahmad Najar 2025-09-03T14:17:10Z 置信度 0.70
• Modular Foundation Model Inference at the Edge: Network-Aware Microservice Optimization
  crossref Juan Zhu, Zixin Wang, Shenghui Song, Jun Zhang 等 2026-07-14T19:38:09Z 置信度 0.70
• Distributed Edge Intelligence for Efficient Artificial Intelligence Inference over Sixth-Generation Wireless Networks
  The recent proliferation of artificial intelligence (AI) applications in mission-critical and latency-sensitive domains, such as autonomous driving, remote healthcare services, smart manufacturing, and immersive extended reality, puts forward requirements on i…
  crossref B. T. Vijay, M. N. Varshini, R. Chaithra 2026-08-27T12:46:42Z 置信度 0.70
• Predicting Delay, Power, and Energy of Edge AI Inference with Ridge Regression
  crossref Minkyu Park, Jaemin Jeong, Jiho Cho, Jeong-Gun Lee 2026-03-27T19:47:50Z 置信度 0.70
• Semi-Supervised Approach For Inference Serving At The Edge
  crossref Saif Eddine Khelifa, Sihem Ouahouah, Miloud Bagaa, Messaoud Ahmed Ouameur 等 2026-07-03T19:49:45Z 置信度 0.70
• Content Popularity Estimation in Edge-Caching Networks from Bayesian Inference Perspective
  crossref Sajad Mehrizi, Anestis Tsakmalis, Symeon Chatzinotas, Björn Ottersten 2019-02-28T18:40:01Z 置信度 0.70
• RobustDiCE: Robust and Distributed CNN Inference at the Edge
  crossref Xiaotian Guo, Quan Jiang, Andy D. Pimentel, Todor Stefanov 2024-03-25T19:06:53Z 置信度 0.70
• Ultra-Low-Latency Edge Inference for Distributed Sensing with Short Packets
  crossref Zhanwei Wang, Anders E. Kalør, You Zhou, Petar Popovski 等 2025-09-26T17:34:55Z 置信度 0.70
• Channel Capacity-Aware Distributed Encoding for Multi-View Sensing and Edge Inference
  crossref Mingjie Yang, Guangming Liang, Dongzhu Liu, Lei Zhang 等 2025-09-26T17:34:55Z 置信度 0.70
• RAW 2024 Invited Talk-2: Digital In-Memory Computing to Accelerate Deep Learning Inference on the Edge
  crossref Stefania Perri 2024-07-26T17:22:29Z 置信度 0.70
• Tiny Time-Series Transformers: Realtime Multi-Target Sensor Inference At The Edge
  crossref Tom Becnel, Kerry Kelly, Pierre-Emmanuel Gaillardon 2022-08-25T18:43:32Z 置信度 0.70
• DNN Partitioning for Inference Throughput Acceleration at the Edge
  crossref Thomas Feltin, Léo Marchó, Juan-Antonio Cordero-Fuertes, Frank Brockners 等 2023-02-16T16:13:03Z 置信度 0.70
• ELPG: End-to-End Latency Prediction for Deep-Learning Model Inference on Edge Devices
  crossref Wenhao Zhao, Lin Wang, Fei Duan 2025-04-03T00:01:20Z 置信度 0.70
• Reinforcement Learning Based Collaborative Inference and Task Offloading Optimization for Cloud-Edge-End Systems
  crossref Jiangyu Tian, Xin Li, Xiaolin Qin 2024-09-09T17:35:05Z 置信度 0.70
• Research on Lightweight Model-Based Leather Defect Edge Inference Mechanism
  crossref Wen Xiao, Meilin Wang, Jiaxian He, Zhipeng Feng 2023-09-19T17:39:58Z 置信度 0.70
• LSTCB: Long-Short-Timescale Cooperative Batching for Energy-Efficient Edge Inference
  crossref Zichuan Zheng, Shan Zhang, Naixin Lu, Zhiyuan Wang 等 2026-06-29T19:38:15Z 置信度 0.70
• Efficient and Privacy-Preserving Large Language Model Inference at the Edge
  crossref Vilhelm Toivonen 2026-07-02T19:42:40Z 置信度 0.70
• Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach
  crossref Divya Jyoti Bajpai, Manjesh Kumar Hanawal 2026-03-10T19:50:41Z 置信度 0.70
• Offloaded Execution of Deep Learning Inference at Edge: Challenges and Insights
  crossref Swarnava Dey, Jayeeta Mondal, Arijit Mukherjee 2019-06-06T23:24:53Z 置信度 0.70
• Self-Organized Neural Network Inference in Dynamic Edge Networks
  Inference of large machine learning models can quickly exceed the capabilities of edge devices in terms of performance, memory or energy consumption. When offloading computations to a cloud server is not possible or feasible, for instance, due to data sovereig…
  crossref Manuel Schrauth, Moritz Thome, Torsten Ohlenforst, Felix Kreyß 2025-12-01T09:34:37Z 置信度 0.70
• Edge Devices Inference Performance Comparison
  crossref Tobiasz Rafal, Wilczynski Grzegorz, Graszka Piotr, Czechowski Nikodem 等 2023-07-10T03:52:02Z 置信度 0.70
• Generative Inference of Large Language Models in Edge Computing: An Energy Efficient Approach
  crossref Xingyu Yuan, He Li, Kaoru Ota, Mianxiong Dong 2024-07-17T17:18:34Z 置信度 0.70
• ADDA: Adaptive Distributed DNN Inference Acceleration in Edge Computing Environment
  crossref Huitian Wang, Guangxing Cai, Zhaowu Huang, Fang Dong 2020-01-31T01:32:10Z 置信度 0.70
• VitaLLM: A Versatile and Tiny Accelerator for Mixed-Precision LLM Inference on Edge Devices
  crossref Zi-Wei Lin, Tian-Sheuan Chang 2026-06-18T20:06:41Z 置信度 0.70
• Efficient Pre-Deployment CNN Compression for Edge Inference
  crossref Ahmed S. Farghaly, Mohamed O. Elsedfy, Mohamed A. Elshafey 2026-07-02T19:42:12Z 置信度 0.70
• Performance Characterization of Distributed Inference on Heterogeneous Edge Device Clusters Compared with Single-Device Omnimodal Inference
  crossref Pil-Seong Jeong 2026-08-05T01:04:56Z 置信度 0.70
• Seismic and well-log inference of gas-hydrate accumulations on Richards Island, Northwest Territories, Canada
  The Mackenzie Delta in Canada's Northwest Territories hosts many permafrost-related gas-hydrate accumulations that were indirectly discovered or inferred from conventional hydrocarbon exploration programs. In particular, gas-hydrate intervals characterized wit…
  crossref Gilles Bellefleur, Michael Riedel, Tom Brent 2013-04-29T18:48:30Z 置信度 0.70
• A Trusted Inference Mechanism for Edge Computing Based on Post-Quantum Encryption
  crossref Yukang Huang, Junyi Mai, Wanling Jiang, Enyi Yao 2024-07-02T17:22:52Z 置信度 0.70
• Semantics-Driven Cloud-Edge Collaborative Inference A Case Study of License Plate Detection
  crossref Yuche Gao, Beibei Zhang 2024-02-13T18:34:14Z 置信度 0.70
• TurboInfer: Targeting Age of Model Inference Optimization for Joint Model Inference in Edge Cloud Systems
  crossref Chenxuan Hou, Chao Qiu, Tiantian Cao, Yunfeng Zhao 等 2026-08-04T19:15:34Z 置信度 0.70
• Getting the Best Out of Both Worlds: Algorithms for Hierarchical Inference at the Edge
  crossref Vishnu Narayanan Moothedath, Jaya Prakash Champati, James Gross 2024-02-14T18:49:19Z 置信度 0.70
• From Atlas to Actuary: Immunai Expands Immune Mapping with $215M in Series B
  crossref Alex Philippidis 2022-02-14T15:34:46Z 置信度 0.70
• DipDCE: Offloading-Aware Vision Inference in Edge with Concurrent Executions
  crossref Abhinaba Chakraborty, Wouter Tavernier, Mario Pickavet, Didier Colle 2025-10-16T17:35:42Z 置信度 0.70
• Cloud-Edge Joint Inference Algorithm for Target Recognition in Cloud-Edge Collaborative Intelligence
  crossref Gongyi Xiao, Jing Chen, Wen Li, Hao Sun 等 2023-01-30T09:36:36Z 置信度 0.70
• PIMPAL: Accelerating LLM Inference on Edge Devices via In-DRAM Arithmetic Lookup
  crossref Yoonho Jang, Hyeongjun Cho, Yesin Ryu, Jungrae Kim 等 2025-09-15T17:35:41Z 置信度 0.70
• A Cloud-Edge Collaborative Inference System for Data-secure LLM Serving
  crossref Wenjie Chu, Yunfeng Shao, Chunhui Du 2025-09-02T16:19:34Z 置信度 0.70
• Probabilistic edge inference of gene networks with markov random field-based bayesian learning
  Current algorithms for gene regulatory network construction based on Gaussian graphical models focuses on the deterministic decision of whether an edge exists. Both the probabilistic inference of edge existence and the relative strength of edges are often over…
  crossref Yu-Jyun Huang, Rajarshi Mukherjee, Chuhsing Kate Hsiao 2022-11-10T05:37:10Z 置信度 0.70
• Cloudburst AI: Orchestrating SRE-Driven AI Inference Across Multi-Cloud and Edge Zones
  crossref Rishiraj Kohli, Mourya Chigurupati, Sivarama Krishna Akhil Koduri, Nagarjuna Nellutla 2026-05-12T19:46:43Z 置信度 0.70
• EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge
  crossref Motahare Mounesan, Xiaojie Zhang, Saptarshi Debroy 2024-12-31T19:23:43Z 置信度 0.70
• Distributed Mixture-of-Agents for Edge Inference with Large Language Models
  crossref Purbesh Mitra, Priyanka Kaswan, Sennur Ulukus 2025-12-12T18:33:25Z 置信度 0.70
• Low-Latency Neural Inference on an Edge Device for Real-Time Handwriting Recognition from EEG Signals
  Abstract Brain–computer interfaces (BCIs) hold significant promise for restoring communication in individuals with severe motor or speech impairments. Imagined handwriting, as a form of motor imagery, offers an intuitive paradigm for character-level neural dec…
  crossref Ovishake Sen, Raghav Soni, Darpan Virmani, Akshar Parekh 等 2025-08-27T06:24:29Z 置信度 0.70
• In-Network Split Inference with Named Data Networking under Lossy Edge Connectivity
  crossref Marica Amadeo, Claudia Campolo, Antonella Molinaro, Giuseppe Ruggeri 2025-12-22T18:40:10Z 置信度 0.70
• AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning
  crossref Young Geun Kim, Carole-Jean Wu 2020-11-11T16:55:22Z 置信度 0.70
• Speeding up Machine Learning Inference on Edge Devices by Improving Memory Access Patterns using Coroutines
  crossref Bruce Belson, Bronson Philippa 2023-03-16T17:25:23Z 置信度 0.70
• Neuromorphic Photonic Processors for Ultra-Low-Latency Edge Inference
  crossref Bhanu Prakash Reddy Rella, Natalya Yaronova, Sathish Krishna Anumula, Rajesh Gangavarapu 2026-02-16T21:03:12Z 置信度 0.70
• Energy-Efficient Cooperative Inference Via Adaptive Deep Neural Network Splitting at the Edge
  crossref Ibtissam Labriji, Mattia Merluzzi, Fatima Ezzahra Airod, Emilio Calvanese Strinati 2023-10-23T17:54:10Z 置信度 0.70
• Work-in-Progress: Real-Time Deep Neural Inference on Resource-Constrained Edge Devices
  crossref Md Tasnim Farhan Fatin, Monowar Hasan 2025-12-31T18:42:18Z 置信度 0.70
• Edge Intelligence
  crossref En Li, Zhi Zhou, Xu Chen 2018-08-01T15:07:07Z 置信度 0.70
• Neuromorphic Wireless Device-Edge Co-Inference via the Directed Information Bottleneck
  crossref Yuzhen Ke, Zoran Utkovski, Mehdi Heshmati, Osvaldo Simeone 等 2024-12-02T18:37:03Z 置信度 0.70
• Distributing deep learning inference on edge devices
  crossref Buddhi Gunarathne, Chiranthana Prabhath, Vinura Perera, Kutila Gunasekara 2020-11-24T22:53:05Z 置信度 0.70
• Classification of Thyroid Carcinoma using Sobel Edge Detection and Adaptive Neuro Fuzzy Inference System Approach
  crossref I. Intan, Y.J.W Soetikno 2020-01-23T22:20:32Z 置信度 0.70
• Lightweight prediction based big/little design for efficient neural network inference
  crossref Ye Tian, Min Li, Qiang Xu 2019-11-04T14:11:35Z 置信度 0.70
• Energy-Efficient AI Inference at the Edge: Optimizing Semiconductor Hardware for Small Language Models
  The rapid expansion of artificial intelligence applications across mobile devices, Internet of Things (IoT) platforms, and embedded systems has intensified the demand for efficient on-device inference. While large language models have demonstrated remarkable p…
  crossref Rohit Chandrakant Kulkarni 2026-03-19T07:55:51Z 置信度 0.70
• Active Inference-Enhanced Reinforcement Learning for Adaptive Service Migration in Edge Computing-Enabled Networks
  crossref Yuxia Cheng, Chengchao Liang, Qianbin Chen, F. Richard Yu 2025-09-26T17:34:55Z 置信度 0.70
• A Study on Edge Computing-Based Microservices Architecture Supporting IoT Device Management and Artificial Intelligence Inference
  crossref Tai-Gil Kwon, Kwanghyun Ro 2023-03-10T18:20:59Z 置信度 0.70
• Joint DNN partitioning and Resource Allocation for Completion Rate Maximization of Delay-Aware DNN inference Tasks in Wireless Powered Mobile Edge Computing
  Abstract With the development of smart Internet of Things (IoT), it has seen a surge in wireless devices deploying Deep Neural Network (DNN) models for real-time computing tasks. However, the inherent resource and energy constraints of wireless devices make lo…
  crossref Xianzhong Tian, Pengcheng Xu, Yifan Shen, Yuheng Shao 2023-06-12T03:15:30Z 置信度 0.70
• Dynamic Fuzzy Inference System for Edge Detection of Stone Inscriptions
  crossref Jie Song, Jie Wang, Shanshan Li 2019-05-13T12:17:59Z 置信度 0.70
• Enabling AI Quality Control via Feature Hierarchical Edge Inference
  crossref Jinhyuk Choi, Seong-Lyun Kim, Seung-Woo Ko 2023-10-23T17:54:10Z 置信度 0.70
• Energy-Aware Selective Inference Task Offloading for Real-Time Edge Computing Applications
  crossref Abdelkarim Ben Sada, Amar Khelloufi, Abdenacer Naouri, Huansheng Ning 等 2024-05-22T13:42:36Z 置信度 0.70
• Exploring Edge Inference Feasibility of Small Scale Deep Learning Models for Robotic Manipulation
  crossref Rishik R. Tiwari, Daniel T. H. Lai 2025-08-19T18:06:18Z 置信度 0.70
• Towards Safe Online Machine Learning Model Training and Inference on Edge Networks
  crossref Md Al Maruf, Akramul Azim, Nitin Auluck, Mansi Sahi 2024-03-19T18:08:18Z 置信度 0.70
• Orpheus: A New Deep Learning Framework for Easy Deployment and Evaluation of Edge Inference
  crossref Perry Gibson, Jose Cano 2020-10-26T21:19:13Z 置信度 0.70
• Agentic CDNs: A Multi-Agent Architecture for Edge-Native AI Inference and Control
  crossref Venkata Gopi Kolla, Chintan Tank, Luc Giavelli 2026-07-22T19:19:38Z 置信度 0.70
• Merging approach of pre-trained deep learning models for edge-cloud collaborative inference
  crossref Wansong Yan 2024-11-18T16:41:20Z 置信度 0.70
• Tracy–Widom distribution for the edge eigenvalues of elliptical model
  Abstract In this paper, we study the largest eigenvalues of sample covariance matrices with elliptically distributed data. We consider the sample covariance matrix $Q=YY^{*},$ where the data matrix $Y \in \mathbb{R}^{p \times n}$ contains i.i.d. $p$-dimensiona…
  crossref Xiucai Ding, Jiahui Xie 2025-04-18T09:11:37Z 置信度 0.70
• Fused DSConv: Optimizing Sparse CNN Inference for Execution on Edge Devices
  crossref Jia Guo, Radu Teodorescu, Gagan Agrawal 2021-08-02T21:11:07Z 置信度 0.70
• Power-Efficient and Reconfigurable Compute Unit for Multi-Precision AI Inference at the Edge
  crossref Muhammad Hamis Haider, Hao Zhang, Seokbum Ko 2026-06-18T20:06:41Z 置信度 0.70
• A Full System Co-Simulation Platform for Evaluating Edge Machine Learning Inference Using Compute-in-Memory
  crossref Belsen Lee, Tom Springer 2026-07-02T19:41:25Z 置信度 0.70
• GNN-SAMPLER: Accelerating Distributed GNN Inference Sampling at the Edge
  crossref Heng Mao, Yong Guo, Jiawei Liao, Yi Ren 2026-07-06T19:42:40Z 置信度 0.70
• Llm-Guided Training and Llm-Free Inference for Reliable Task Offloading in Edge Computing
  crossref Hao Guo, Kaixiang Xv, Lei Yang 2026-08-04T19:14:37Z 置信度 0.70
• MultiTASC: A Multi-Tenancy-Aware Scheduler for Cascaded DNN Inference at the Consumer Edge
  crossref Sokratis Nikolaidis, Stylianos I. Venieris, Iakovos S. Venieris 2023-08-28T17:46:48Z 置信度 0.70
• Modifier guided resilient CNN inference enables fault-tolerant edge collaboration for IoT
  crossref Omid Jamshidi, Mahdi Abbasi, Abbas Ramazani, Atefeh Salimi Shahraki 等 2025-11-27T10:20:56Z 置信度 0.70
• FlexEdge: A Hardware-Software Co-Design for Flexible Edge Transformer Inference
  crossref Jiewen Zheng, Zifeng Zhao, Qi Wu, Gengsheng Chen 等 2026-06-18T20:06:41Z 置信度 0.70
• Model-Distributed Inference in Multi-Source Edge Networks
  crossref Pengzhen Li, Hulya Seferoglu, Erdem Koyuncu 2023-08-02T17:30:54Z 置信度 0.70
• Digital In-Memory Computing to Accelerate Deep Learning Inference on the Edge
  crossref Stefania Perri, Cristian Zambelli, Daniele Ielmini, Cristina Silvano 2024-07-26T17:22:29Z 置信度 0.70
• Learning Training Samples for Occlusion Edge Detection and Its Application in Depth Ordering Inference
  crossref Yu Zhou, Jianxiang Ma, Anlong Ming, Xiang Bai 2018-11-30T00:17:38Z 置信度 0.70
• Inference Routing Over Multi-Hop Edge Networks
  crossref Ce Xu, Yuan Liu, Jiarong Yang 2025-09-23T17:26:10Z 置信度 0.70
• Fast and Accurate Streaming CNN Inference via Communication Compression on the Edge
  crossref Diyi Hu, Bhaskar Krishnamachari 2020-05-21T22:37:09Z 置信度 0.70
• QoE Inference and Improvement Without End-Host Control
  crossref Ashkan Nikravesh, Qi Alfred Chen, Scott Haseley, Xiao Zhu 等 2018-12-11T01:06:28Z 置信度 0.70
• Optimization of Deep Learning Inference on Edge Devices
  crossref Endah Kristiani, Chao-Tung Yang, Kieu Lan Phuong Nguyen 2021-04-16T16:50:08Z 置信度 0.70
• HiDP:Hierarchical DNN Partitioning for Distributed Inference on Heterogeneous Edge Platforms
  crossref Zain Taufique, Aman Vyas, Antonio Miele, Pasi Liljeberg 等 2025-05-21T17:36:35Z 置信度 0.70