Program

SEC 2025 Proceedings

Wednesday Dec. 3
Thursday Dec. 4
Friday Dec. 5
Saturday Dec. 6

Wednesday, Dec. 3: EDGE AI AND MACHINE LEARNING SYSTEMS
8:00-9:00	Registration
9:00-10:00	Keynote 1 David Irwin (University of Massachusetts Amherst) Session Chair: Christopher Stewart, The Ohio State University
10:00-10:15	Break
10:15-11:30	Session 1A: Federated Learning Session Chair: Atakan Aral, University of Vienna 1. FedDES: Discrete Event Based Performance Simulation for Federated Learning Systems Zhonghao Chen (University of California, Merced); Weicong Chen (University of California Merced); Duo Zhang (UC Merced); Kibaek Kim (Argonne National Laboratory); Guanpeng Li (University of Florida); Sheng Di (Argonne National Laboratory); Xiaoyi Lu (University of California, Merced) 2. Enhancing Efficiency in Multidevice Federated Learning through Data Selection Fan Mo (Imperial College London); Mohammad Malekzadeh, Soumyajit Chatterjee (Nokia Bell Labs); Fahim Kawsar (University of Glasgow); Akhil Mathur (Nokia Bell Labs) 3. Adaptive Federated Distillation with Dual-LoRA for Personalized Representation Learning Duy Phuong Nguyen (Iowa State University); Chianing Wang (InfoTech Labs, Toyota Motor North America R&D); Ali Jannesari (Iowa State University)
11:30-11:45	Break
11:50-12:40	Session 1B: Energy Efficiency Session Chair: Dolly Sapra, University of Amsterdam 1. EcoLearn: Optimizing the Carbon Footprint of Federated Learning Talha Mehboob (University of Massachusetts Amherst); Noman Bashir (Massachusetts Institute of Technology); Jesús Omaña Iglesias (Telefonica Research); Michael Zink, David Irwin (University of Massachusetts Amherst) 2. PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural Architecture Search Xiaolong Tu (Georgia State University); Dawei Chen (Toyota Motor North America R&D); Kyungtae Han (Toyota Motor North America); Onur Altintas (InfoTech Labs, Toyota Motor North America R&D); Haoxin Wang (Georgia State University)
12:40-14:10	Lunch
14:15-15:30	Session 1C: Privacy and Security Session Chair: Kewei Sha, University of North Texas 1. Safeguarding privacy in edge speech understanding with tiny foundation models Afsara Benazir, Felix Xiaozhu Lin (University of Virginia) 2. LLM-Driven Auto Configuration for Transient IoT Device Collaboration Hetvi Shastri, Walid Hanafy, Li Wu, David Irwin (University of Massachusetts Amherst); Mani Srivastava (University of California, Los Angeles & Amazon AWS); Prashant Shenoy (University of Massachusetts Amherst) 3. A Distributed Framework for Privacy-Enhanced Vision Transformers on the Edge Zihao Ding, Mufeng Zhu, Zhongze Tang, Sheng Wei, Yao Liu (Rutgers University)
15:30-15:45	Break
15:45-17:00	Session 1D: Neural Architecture Search and Optimization Session Chair: Walid Hanafy, University of Massachusetts Amherst 1. SEEB-GPU: Early-Exit Aware Scheduling and Batching for Edge GPU Inference Srinivasan Subramaniyan, Rudra Joshi, Xiaorui Wang, Marco Brocanelli (The Ohio State University) 2. Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation Sudaksh Kalra, Dolly Sapra (University of Amsterdam) 3. Uncertainty-Aware RL-Based Scheduling of Multi-DNN Workloads on Edge MPSoCs Soroush Heidari (Arizona State University); Mehdi Ghasemi (Southern Illinois University); Sarma Vrudhula (Arizona State University)
17:00-18:00	Posters and Demos

Thursday, Dec. 4: AUTONOMOUS SYSTEMS AND INFRASTRUCTURE
8:00-9:00	Registration
9:00-10:15	Session 2A: Autonomous Vehicle Perception Session Chair: Marco Brocanelli, The Ohio State University 1. ARMBench: Benchmarking Adversarial Robustness of Multitask Perception in Autonomous Driving Yunge Li (Oakland University); Yuhong Liu (Santa Clara University); Lanyu Xu (Oakland University) 2. FrameScope: Temporal Data Valuation for Stream Active Learning in Autonomous Vehicle Systems Yuheng Zhu, Man-Ki Yoon (North Carolina State University) 3. Real-Time Video Analytics for Urban Safety: Deployment over Edge and End Devices Mahshid Ghasemi, Yongjie Fu, Xinyu Ouyang, Peiran Wang, Mehmet Kerem Turkcan (Columbia University); Jhonatan Tavori (Tel Aviv University); Sofia Kleisarchaki, Thomas Calmant, Levent Gürgen (Kentyou); Zoran Kostic, Xuan Sharon Di, Gil Zussman, Javad Ghaderi (Columbia University)
10:15-10:30	Break
10:30-11:30	Keynote 2 Vishy Swaminathan (Sr. Principal Scientist of Adobe Research) Session Chair: Prashant Shenoy, University of Massachusetts Amherst
11:45-12:30	Session 2B: Edge Infrastructure and Resource Management Session Chair: George Pallis, University of Cyprus 1. SledgeScale: Load-Aware Dispatch and Deadline-Driven Scheduling for Scalable, Dense Serverless Computing in Edge Data Centers Xiaosu Lyu, Emil Abbasov, Sean McBride, Gabriel Parmer, Timothy Wood (George Washington University) 2. fReeLoaders: An IoT Ecosystem for Real-Time Deadline-Driven Task Scheduling using Reinforcement Learning Marshall Clyburn (University of Virginia); Nabeel Nasir (UC Santa Barbara); Md Fazlay Rabbi Masum Billah, Victor Ariel Leal Sobral, Jiechao Gao, Fateme Nikseresht, Brad Campbell (University of Virginia)
12:30-13:50	Lunch
14:00-15:05	Session 2C: On-Device Inference and Applications Session Chair: Zhihao Yao, New Jersey Institute of Technology 1. lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models Haoxin Wang, Xiaolong Tu, Hongyu Ke, Huirong Chai (Georgia State University); Dawei Chen (Toyota Motor North America R&D); Kyungtae Han (Toyota Motor North America) 2. Energy-efficient DNN Dividing Technique for Latency Optimization in Dynamic Mobile Edge Networks Eldiyar Zhantileuov, Ali kadhum Idrees, Suhrut Rajendra Heroorkar, Rolf Schuster (Smart Edge Lab, Faculty of Computer Science, University of Applied Science and Arts, Dortmund) 3. Bayes-Split-Edge: Bayesian Optimization for Constrained Collaborative Inference in Wireless Edge Systems Fatemeh Zahra Safaeipour (University of Kansas); Jacob Chakareski (New Jersey Institute of Technology); Morteza Hashemi (University of Kansas)
15:05-15:20	Break
15:20-16:50	Industry Spotlight Talks Session Chair: Prashant Shenoy, University of Massachusetts Amherst • Ramesh Sitaraman (Akamai and UMass)
18:00-20:30	Banquet (with award ceremonies and cake 🎂)

Friday, Dec. 5: SECURITY, IOT, AND EMERGING APPLICATIONS
8:00-9:00	Registration
9:00-10:30	Panel Discussion: Looking Back and Moving Forward: 10 Years of Edge Computing Moderator: Weisong Shi, University of Delaware Panelists: • Victor Bahl (Microsoft Research) • Maria Gorlatova (Duke University) • Bruce Maggs (Duke University and Emerald Innovations) • Mahadev Satyanarayanan (Carnegie Mellon University)
10:30-11:15	Keynote 3 Lei Zhong (Toyota Motor Corporation) Session Chair: Weisong Shi, University of Delaware
11:30-11:50	Break
11:50-12:40	Session 3A: The Edge for Innovation - Part 1 Session Chair: Fawad Ahmad, Rochester Institute of Technology 1. Does Accurate Real-Time AI Need Edge Offload? Qifei Dong, Jingao Xu, Padmanabhan Pillai, Mahadev Satyanarayanan (Carnegie Mellon University) 2. Centralized Traffic Engineering for Networked Farm Applications Ammar Tahir, Yueshen Li, Jianli Jin, Daniel Moon, Changxin Zhang, Aganze Mihigo (University of Illinois Urbana-Champaign); Muhammad Taimoor Tariq (University of Illinois at Urbana-Champaign); Deepak Vasisht, Radhika Mittal (University of Illinois Urbana-Champaign)
12:40-14:10	Lunch
14:10-15:25	Session 3B: The Edge for Innovation - Part 2 Session Chair: Jenna Kline, The Ohio State University 1. Efficient SAR Vessel Detection for FPGA-Based On-Satellite Sensing Colin Laganier, Liam Fletcher, Elim Kwan, Richard Walters, Victoria Nockles (The Alan Turing Institute) 2. A Metal Sensing and Biometric-based Tracking System Guanqun Song (The Ohio State University); Yan Li (Johns Hopkins University APL); Ting Zhu (The Ohio State University) 3. An Edge-Based Reinforcement Learning Approach for Augmented Reality Apps in Dynamic Contexts Ze Li, Marco Brocanelli (The Ohio State University)
15:25-15:40	Break
15:45-16:30	Session 3C: Mobility and Network Infrastructure for Emerging Workloads Session Chair: Talha Azfar, RPI 1. Warping the Edge: Enabling Instant Mobility for Stateful Applications over 5G and Beyond Mukhtiar Ahmad, Faaiq Bilal, Mutahar Ali, Syed Muhammad Ali Nawazish (LUMS); Amir Salman (Independent Researcher); Shazer Ali (LUMS); Fawad Ahmad (Rochester Institute of Technology); Zafar Ayyub Qazi (LUMS) 2. SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving Xiangchen Li (Virginia Tech); Dimitrios Spatharakis (National Technical University of Athens); Saeid Ghafouri (Queen‚Äôs University Belfast); Jiakun Fan (Virginia Tech); Hans Vandierendonck (Queens University Belfast); Deepu John (University College Dublin); Bo Ji, Dimitrios Nikolopoulos (Virginia Tech)
16:30-16:40	Closing Remarks

Saturday, Dec. 6: Workshop Day
8:00-9:00	Registration
9:00-10:00	Keynote 4 Jeff White (Chief Architect – Office of the CTO, Ernst and Young LLP) Session Chair: TBD
10:00-16:00	EdgeCAV Workshop Agenda
10:20-12:30	DroneSys Workshop
10:20–10:50	Invited Talk Invited Talk – Christopher Stewart (Title: Computing on the Fly: Navigating a Vision for the Future of Drone Computing)
10:50–11:10	Session 1 – Platforms & Frameworks DroEdgeEM: A Drone-Edge Collaborative Emulation Platform for Emerging Situation-aware Applications Summit Shrestha (Georgia Institute of Technology), Rit Muliashia (Georgia Institute of Technology), Rohit Rao (Georgia Institute of Technology), Anirudh Sarma (Georgia Tech), Myungjin Lee (Cisco Research), Alan Nussbaum (Georgia Tech Research Institute), and Umakishore Ramachandran (Georgia Tech)
11:10–11:30	E2AR: An Energy-Efficient Augmented Reality Framework for Collaborative Multi-Drone Systems Mozhgan Navardi, Edward Humes, and Tinoosh Mohsenin (Johns Hopkins University)
11:30–11:50	Session 2 – Applications & Autonomy Edge-Native, Behavior-Adaptive Drone System for Wildlife Monitoring Jenna Kline, Rugved Katole, Tanya Berger-Wolf, Christopher Stewart (The Ohio State University)
11:50-12:10	eFlight: RL Scheme for Autonomous Drones to Efficiently Fly through Obstacles Yihan Xu (New York Institute of Technology), Chuanbi Lin (Chaoyang University of Technology), Cong Wang (New Jersey Institute of Technology), Wen Zhang (New Jersey Institute of Technology), Ziqian (Cecilia) Dong (New York Institute of Technology), and Roberto Rojas-Cessa (New Jersey Institute of Technology)
12:10–12:30	Drone-Based Standardized Environmental and Usage Assessment of Parks and Trails Arpan Bhattacharjee, Matthew Saponaro, and Weisong Shi (University of Delaware)
10:30-11:50	Edge Intelligence Workshop
10:30–10:50	How Heavy is the Edge? Resource Utilization of Edge Generative AI on Distributed AI Infrastructure Liang Wu (University of Wisconsin-Milwaukee), Zhen Zeng (University of Wisconsin-Milwaukee), Zhongshu Gu (IBM Research), and Pengxia Wu (Rockwell Automation)
10:50–11:10	Performance Evaluation of Whisper-Series Speech Transcription Models on Raspberry Pi Yue Cao (Syracuse University)
11:10–11:30	Edge-Enabled Scalable Routing via Graph Neural Network Pruning and Metaheuristic Optimization Subrahmanya Chandra Bhamidipati (University of Missouri-Columbia), William Echols (University of California Berkeley), Jesus Lopez Olivares (San Joaquin Delta College), Kenzie Markley (Arizona State University), Sharan Srinivas (University of Missouri-Columbia), and Prasad Calyam (University of Missouri-Columbia)
11:30–11:50	RepVal: A Skeleton-based Validation System for Functional Fitness Repetition on Edge Devices Lucas Alves (Oakland University), Fan Li (Oakland University), and Lanyu Xu (Oakland University)
14:00-16:00	EdgeSP Workshop
14:00 - 14:20	Saliency-Guided Lightweight Backdoor Defense for Edge Intelligence Zijian Zhang (University of Wisconsin-Milwaukee); Liang Wu (University of Wisconsin-Milwaukee); Zhen Zeng (University of Wisconsin-Milwaukee); Zhongshu Gu (IBM Research)
14:20 - 14:40	RAI Overblock Dataset (ROD): A GAN-Based Synthetic Data Generation Approach for Evaluating Overblocking in Responsible AI Systems Nahid Ghalaty (Microsoft); Abhilasha Bhargav-Spantzel (Microsoft)
14:40 - 15:00	Siamese: Stealing Fine-Tuned Visual Foundation Models via Diversified Prompting Madhureeta Das (Seacom Engineering College); Gaurav Bagwe (Clemson University); Miao Pan (University of Houston); Kaichen Yang (Michigan Technological University); Xiaoyong Yuan (Clemson University); Lan Zhang (Clemson University)
15:00 - 15:20	Reinforcement Learning-Guided Large Language Model Fine-Tuning for Privacy-Preserving Text Rewriting Zhan Shi (Santa Clara University); Yefeng Yuan (Santa Clara University); Liang Cheng (ebay); Yuhong Liu (Santa Clara University)
15:20 - 15:40	Exploring Transferability of Adversarial Examples from Resource-Constrained Devices Houchao Gan, Shima Yousefi, and Saptarshi Debroy (City University of New York)
15:40 - 16:00	Seeing Patterns Differently: Topological Geometry for Anomaly Detection in Multivariate Time Series Kanchon Gharami (Embry-Riddle Aeronautical University); Humayra Tasnim (Rajshahi University of Engineering and Technology); M. Ilhan Akbas (Embry-Riddle Aeronautical University); Shafika Showkat Moni (Embry-Riddle Aeronautical University)