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ORCID10th SEC 2025: Arlington, VA, USA
- Bo Han, Christopher C. Stewart, Prashant J. Shenoy:
Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing, SEC 2025, the Hilton Arlington National Landing, Arlington, VA, USA, December 3-6, 2025. ACM 2025, ISBN 979-8-4007-2238-7
Research Articles
- Zhonghao Chen, Weicong Chen, Duo Zhang, Kibaek Kim, Guanpeng Li, Sheng Di, Xiaoyi Lu:
FedDES: Discrete Event Based Performance Simulation for Federated Learning Systems. 1:1-1:16 - Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee, Fahim Kawsar, Akhil Mathur:
Enhancing Efficiency in Multidevice Federated Learning through Data Selection. 2:1-2:14 - Duy Phuong Nguyen, Chianing Wang, Ali Jannesari:
Adaptive Federated Distillation with Dual-LoRA for Personalized Representation Learning. 3:1-3:16 - Talha Mehboob, Noman Bashir, Jesús Omana Iglesias, Michael Zink, David E. Irwin:
EcoLearn: Optimizing the Carbon Footprint of Federated Learning. 4:1-4:16 - Xiaolong Tu, Dawei Chen, Kyungtae Han, Onur Altintas, Haoxin Wang:
PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural Architecture Search. 5:1-5:16 - Afsara Benazir, Felix Xiaozhu Lin:
Safeguarding Privacy in Edge Speech Understanding with Tiny Foundation Models. 6:1-6:17 - Hetvi Shastri, Walid A. Hanafy, Li Wu, David E. Irwin, Mani Srivastava, Prashant J. Shenoy:
LLM-Driven Auto Configuration for Transient IoT Device Collaboration. 7:1-7:17 - Zihao Ding, Mufeng Zhu, Zhongze Tang, Sheng Wei, Yao Liu:
A Distributed Framework for Privacy-Enhanced Vision Transformers on the Edge. 8:1-8:16 - Srinivasan Subramaniyan, Rudra Joshi, Xiaorui Wang, Marco Brocanelli:
SEEB-GPU: Early-Exit Aware Scheduling and Batching for Edge GPU Inference. 9:1-9:16 - Sudaksh Kalra, Dolly Sapra:
Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation. 10:1-10:14 - Soroush Heidari, Mehdi Ghasemi, Sarma Vrudhula:
Uncertainty-Aware RL-Based Scheduling of Multi-DNN Workloads on Edge MPSoCs. 11:1-11:16 - Yunge Li, Yuhong Liu, Lanyu Xu:
ARMBench: Benchmarking Adversarial Robustness of Multitask Perception in Autonomous Driving. 12:1-12:16 - Yuheng Zhu, Man-Ki Yoon:
FrameScope: Temporal Data Valuation for Stream Active Learning in Autonomous Vehicle Systems. 13:1-13:15 - Mahshid Ghasemi, Yongjie Fu, Xinyu Ouyang, Peiran Wang, Mehmet Kerem Türkcan, Jhonatan Tavori, Sofia Kleisarchaki, Thomas Calmant, Levent Gürgen, Zoran Kostic, Xuan Sharon Di, Gil Zussman, Javad Ghaderi:
Real-Time Video Analytics for Urban Safety: Deployment over Edge and End Devices. 14:1-14:17 - Xiaosu Lyu, Emil Abbasov, Sean McBride, Gabriel Parmer, Timothy Wood:
SledgeScale: Load-Aware Dispatch and Deadline-Driven Scheduling for Scalable, Dense Serverless Computing in Edge Data Centers. 15:1-15:17 - Marshall Clyburn, Nabeel Nasir, Md Fazlay Rabbi Masum Billah, Victor Ariel Leal Sobral, Jiechao Gao, Fateme Nikseresht, Brad Campbell:
fReeLoaders: An IoT Ecosystem for Real-Time Deadline-Driven Task Scheduling using Reinforcement Learning. 16:1-16:8 - Haoxin Wang, Xiaolong Tu, Hongyu Ke, Huirong Chai, Dawei Chen, Kyungtae Han:
lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models. 17:1-17:17 - Eldiyar Zhantileuov, Ali Kadhum Idrees, Suhrut Rajendra Heroorkar, Rolf Schuster:
Energy-efficient DNN Dividing Technique for Latency Optimization in Dynamic Mobile Edge Networks. 18:1-18:11 - Fatemeh Zahra Safaeipour, Jacob Chakareski, Morteza Hashemi:
Bayes-Split-Edge: Bayesian Optimization for Constrained Collaborative Inference in Wireless Edge Systems. 19:1-19:13 - Qifei Dong, Jingao Xu, Padmanabhan Pillai, Mahadev Satyanarayanan:
Does Accurate Real-Time AI Need Edge Offload? 20:1-20:18 - Ammar Tahir, Yueshen Li, Jianli Jin, Daniel Moon, Changxin Zhang, Aganze Mihigo, Muhammad Taimoor Tariq, Deepak Vasisht, Radhika Mittal:
Centralized Traffic Engineering for Networked Farm Applications. 21:1-21:16 - Colin Laganier, Liam Fletcher, Elim Kwan, Richard Walters, Victoria Nockles:
Efficient SAR Vessel Detection for FPGA-Based On-Satellite Sensing. 22:1-22:17 - Guanqun Song, Yan Li, Ting Zhu:
A Metal Sensing and Biometric-based Tracking System. 23:1-23:17 - Ze Li, Marco Brocanelli:
An Edge-Based Reinforcement Learning Approach for Augmented Reality Apps in Dynamic Contexts. 24:1-24:16 - Mukhtiar Ahmad, Faaiq Bilal, Mutahar Ali, Syed Muhammad Nawazish Ali, Amir Salman, Shazer Ali, Fawad Ahmad, Zafar Ayyub Qazi:
Warping the Edge: Enabling Instant Mobility for Stateful Applications over 5G and Beyond. 25:1-25:18 - Xiangchen Li, Dimitrios Spatharakis, Saeid Ghafouri, Jiakun Fan, Hans Vandierendonck, Deepu John, Bo Ji, Dimitrios S. Nikolopoulos:
SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving. 26:1-26:8
POSTER SESSION: Posters and Demos
- Qianhao Han:
Demo: Honeycomb-Structured Helmet with Embedded EEG System. 27:1-27:3 - Akira Ito, Masanori Itoh, Toru Furusawa, Mitsuhiro Ono, Takuro Sakai, Yoshisato Fukatsu:
Demo: Flexible Edge Server Selection with Diverse Metrics via Telco APIs. 28:1-28:3 - Scott Baker, Beatriz Palmeiro:
Demo: Edge Manageability Framework - Scalable, Secure Infrastructure Management for Edge AI. 29:1-29:3 - Rami Ghaleb, Jason Cox, Joseph Risi, Alyse M. Jones:
Demo: CLOUD-D RF - Cloud-based Distributed Spectrum Sensing with Heterogeneous Hardware Testbed. 30:1-30:3 - Xiaotian Zhou, Dipankar Raychaudhuri:
Demo: EDGE-DC: Decentralized Edge Resource Sharing with Autonomous Clusters Using a Local Control Layer. 31:1-31:3 - Mahshid Ghasemi, Yongjie Fu, Xinyu Ouyang, Peiran Wang, Mehmet Kerem Türkcan, Jhonatan Tavori, Sofia Kleisarchaki, Thomas Calmant, Levent Gürgen, Zoran Kostic, Xuan Sharon Di, Gil Zussman, Javad Ghaderi:
Demo: Real-Time Video Analytics for Urban Safety, Deployment over Edge and End Devices. 32:1-32:3 - Beatriz Palmeiro, Mats Agerstam:
Demo: Generate Optimized Edge Stacks with the Edge Microvisor Toolkit & OS Image Composer. 33:1-33:3 - Eldiyar Zhantileuov, Suhrut R. Heroorkar, Jaime Sebastian Burbano, Ali Kadhum Idrees, Rolf Schuster:
Demo: ELENNA - End-to-end Latency and Energy-aware Neural Network Partitioning Allocation in Edge Computing. 34:1-34:3 - Nishant Chinnasami, Rye Stahle-Smith, Rasha Karakchi:
Poster: Hybrid Monitoring for Side-Channel Security in Edge SoCs. 35:1-35:4 - Gabriel Wolff Taveira, Zijian Zhang, Zhen Zeng, Zhongshu Gu:
Poster: A Lightweight Pruning for Mitigating Neural Network Backdoor on Edge. 36:1-36:3 - Emil Abbasov, Gabriel Parmer:
Poster: Deadline-aware Serverless SLAs for the Multi-tenant Edge. 37:1-37:3 - Jeremy Lynn Reed, Gabriel Ferrer, Turgay Korkmaz, Ali Saman Tosun:
Poster: Beacon: Interpretable Land-Use Classification for Edge AIoT via Information Lattice Learning. 38:1-38:3 - Deng Pan, Timothy Wood, Samer Hamdar:
Poster: "Semantic-Guided Skip Sampling and Soft Edge Compression for Real-Time Edge-Based Traffic Video Analytics". 39:1-39:3 - Muhammad Naveed, Wenjia Li:
Poster: RepuChainFL: A Blockchain-based Trustworthy Federated Learning System for VEC. 40:1-40:3 - Vedant Patil, Christopher Stewart:
Poster: Managing Heterogeneity in Far-Edge AI. 41:1-41:3 - Penelope Covey, Jenna Kline, Christopher Stewart:
Poster: An Edge-to-Cloud Framework for Vigilance-Adaptive Drones. 42:1-42:3 - Victor Pineda, Niv Dayan, Eyal de Lara:
Poster: Leveraging Geo-Spatiality in Geo-Distributed Vector Databases. 43:1-43:3 - Jenna Kline, Rugved Katole, Christopher Stewart:
Poster: An Edge-Native Approach to Behavior-Adaptive Navigation in Drone Systems. 44:1-44:3
DroneSys
- Jenna Kline, Rugved Katole, Tanya Y. Berger-Wolf, Christopher Stewart:
Edge-Native, Behavior-Adaptive Drone System for Wildlife Monitoring. 45:1-45:9 - Yihan Xu, Chuan-Bi Lin, Cong Wang, Wen Zhang, Ziqian (Cecilia) Dong, Roberto Rojas-Cessa:
eFlight: RL Scheme for Autonomous Drones to Efficiently Fly through Obstacles. 46:1-46:6 - Mozhgan Navardi, Edward Humes, Tinoosh Mohsenin:
E2AR: An Energy-Efficient Augmented Reality Framework for Collaborative Multi-Drone Systems. 47:1-47:7 - Summit Shrestha, Rit Muliashia, Rohit Rao, Anirudh Sarma, Alan Nussbaum, Myungjin Lee, Umakishore Ramachandran:
DroEdgeEM: A Drone-Edge Collaborative Emulation Platform for Emerging Situation-aware Applications. 48:1-48:8 - Arpan Bhattacharjee, Matthew Saponaro, Weisong Shi:
Drone-Based Standardized Environmental and Usage Assessment of Parks and Trails. 49:1-49:6
EdgeSense
- Tianfang Zhang, Cong Shi, Payton Walker, Zhengkun Ye, Yan Wang, Nitesh Saxena, Yingying Chen:
Passive Vital Sign Monitoring via Facial Vibrations Extracted from AR/VR Vibration Sensing Based Testbed. 50:1-50:2 - Bofan He, Jerry Cheng, Yan Wang, Zixiao Wang, Tianming Zhao, Hao Wan:
Re-programmable Device Authentication Using Wearable Vibration Sensing Testbeds. 51:1-51:2 - Honglu Li, Bin Han, Cong Shi, Yan Wang, Tammy Chung, Yingying Chen:
Mobile Edge Testbed for Driving Behavior Data Collection and Cognitive Impairment Analysis. 52:1-52:2 - Zhengkun Ye, Ahmed Tanvir Mahdad, Yan Wang, Cong Shi, Yingying Chen, Nitesh Saxena:
VR Testbed-based Blood Pressure Privacy Leakage Analysis. 53:1-53:2 - Atakan Aral:
EdgeSynapse: Towards Leaky-Spike Transmission for Sustainable Edge Sensing. 54:1-54:5 - Yucheng Xie, Xiaonan Guo, Yan Wang, Jerry Cheng, Tianfang Zhang, Yingying Chen, Yuan Ge, Yi Wei:
Exploring Cross-Environment modeling and Robustness in Palm-based User Authentication using mmWave Testbed. 55:1-55:2 - Xiaonan Guo, Yuan Ge, Yi Wei, Wenrui Zhao, Yucheng Xie, Yan Wang, Jerry Cheng, Yingying Chen:
mmWave Testbed for Data Collection and Model Sharing in Contactless Concentration Monitoring System. 56:1-56:2 - Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun:
Robust Point Cloud Recognition Model Sharing. 57:1-57:3
EI Workshop
- Liang Wu, Zhen Zeng, Zhongshu Gu, Pengxia Wu:
How Heavy is the Edge? Resource Utilization of Edge Generative AI on Distributed AI Infrastructure. 58:1-58:6 - Yue Cao:
Performance Evaluation of Whisper-Series Speech Transcription Models on Raspberry Pi. 59:1-59:7 - Lucas Alves, Fan Li, Lanyu Xu:
RepVal: A Skeleton-based Validation System for Functional Fitness Repetition on Edge Devices. 60:1-60:8 - Subrahmanya Chandra Bhamidipati, William Echols, Jesus Lopez Olivares, Kenzie Markley, Sharan Srinivas, Prasad Calyam:
Edge-Enabled Scalable Routing via Graph Neural Network Pruning and Metaheuristic Optimization. 61:1-61:6
ImmerEdge
- Zhe-Yu Lee, Yuan-Chun Sun, Yee-Nam Wong, Cheng-Hsin Hsu:
Exploring LLM-based Assistants with Smart Glasses for the Visually Impaired. 62:1-62:8 - Mingrui Yin, Sohom Sen, Zhihao Ren, Xiaoyu Fang, Yongjie Guan, Tao Han, Nirwan Ansari:
ImmersiveSlicing: An O-RAN Cross-Layer Reinforcement Learning Framework for Low-Latency Immersive Applications. 63:1-63:6 - Md Mehedi Hasan, Bishakha Rani Biswas, Xueyu Hou, Yongjie Guan:
ForestRAG-AR: An AR and RAG Framework for Context-Aware Silviculture Assistance. 64:1-64:6
EdgeCAV
- Haitham Y. Adarbah, Kewei Sha, Afzel Noore:
Toward Design of a Scalable Federated Unlearning Framework for Trustworthy Edge Intelligence. 65:1-65:6 - Tianyang Chen, Yongtao Yao, H. Peter Hofstee, Weisong Shi:
Open-Vocabulary Object Detection with Driving-Aware Multi-Scale Feature Fusion for Autonomous Driving. 66:1-66:6 - Hongyu Ke, Jack Morris, Yongkang Liu, Satoshi Kitai, Kentaro Oguchi, Yi Ding, Haoxin Wang:
TinyBEV: Compact Temporal Fusion for Multi-View 3D Perception. 67:1-67:6 - Cheng-Hsun Chang, Adarsh Prasad Behera, Sophia Zhang Pettersson, James Gross:
A Cost-Aware Hierarchical Cascade for Anomaly Detection at the Edge in Connected Vehicles. 68:1-68:8 - Luyang Gong, Hung-Min Hsu, Wei Sun, Yinhai Wang:
Adaptive Edge Intelligence for Intersection Safety: Real-Time Dilemma Zone Management via DV-EISOS. 69:1-69:7 - Jingyi He, Kehua Chen, Bingzhang Wang, Yinhai Wang:
Communication-aware Diffusion Models for Multi-Agent Trajectory Forecasting in Connected and Autonomous Vehicles. 70:1-70:7 - Meng Ma, Shuyang Li, Kaicong Huang, Talha Azfar, Naigang Wang, Ruimin Ke:
Onboard Decisions and Cloud-Scale LLM Planning: Split Reasoning and Collaborative Intelligence for Autonomous Driving. 71:1-71:7 - Johora Akter Polin, Yichen Luo, Sidi Lu:
Context-Aware Perception: VLM-Augmented All-Weather Detection for Autonomous Driving. 72:1-72:7 - Ishparsh Uprety, Xinghui Zhao:
Edge-Deployable LLMs for Autonomous Vehicle Intelligence. 73:1-73:7 - Mustafa Alsolami, Arpan Bhattacharjee, Weisong Shi:
Evaluating the Impact of Network Latency on the Teleoperation of Autonomous Vehicles. 74:1-74:7 - Yixuan Zhang, Sidi Lu:
Training-Free Late Fusion across Geometry and BEV for Edge-Deployable LiDAR-Camera 3D Perception. 75:1-75:7
EdgeSP
- Kanchon Gharami, Humayra Tasnim, M. Ilhan Akbas, Shafika Showkat Moni:
Seeing Patterns Differently: Topological Geometry for Anomaly Detection in Multivariate Time Series. 76:1-76:6 - Houchao Gan, Shima Yousefi, Saptarshi Debroy:
Exploring Transferability of Adversarial Examples from Resource-Constrained Devices. 77:1-77:6 - Zhan Shi, Yefeng Yuan, Liang Cheng, Yuhong Liu:
Reinforcement Learning-Guided Large Language Model Fine-Tuning for Privacy-Preserving Text Rewriting. 78:1-78:7 - Madhureeta Das, Gaurav Bagwe, Miao Pan, Kaichen Yang, Xiaoyong (Brian) Yuan, Lan Zhang:
Siamese: Stealing Fine-Tuned Visual Foundation Models via Diversified Prompting. 79:1-79:7 - Nahid Farhady Ghalaty, Abhilasha Bhargav-Spantzel:
RAI Overblock Dataset (ROD): A GAN-Based Synthetic Data Generation Approach for Evaluating Overblocking in Responsible AI Systems. 80:1-80:5 - Zijian Zhang, Liang Wu, Zhen Zeng, Zhongshu Gu:
Saliency-Guided Lightweight Backdoor Defense for Edge Intelligence. 81:1-81:6
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