Program

SEC 2026 Proceedings

Wednesday Dec. 3
Thursday Dec. 4
Friday Dec. 5
Workshop Program

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); Jes煤s Oma帽a 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 G眉rgen (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 鈥?Ramesh Sitaraman (Akamai and UMass)
18:00-20:30	Banquet (with award ceremonies and cake 馃巶)

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: 鈥?Victor Bahl (Microsoft Research) 鈥?Maria Gorlatova (Duke University) 鈥?Bruce Maggs (Duke University and Emerald Innovations) 鈥?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鈥毭劽磗 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

SEC 2026 Workshops
Schedule	Detailed workshop schedules will be announced later. The latest list of SEC 2026 workshops is shown below. Please refer to each workshop page for its call for papers and current submission information.
Workshop 1	DroneSys 2026: The 2nd Workshop on Autonomous Drone Computing Systems and Applications Format: Half-day workshop Location and conference context: ACM/IEEE SEC 2026, Santa Clara, CA, USA Status: Program details to be announced
Workshop 2	International Workshop on Edge Intelligence 2026 Location and conference context: ACM/IEEE SEC 2026, Santa Clara, CA, USA Status: Program details to be announced
Workshop 3	EdgeSP 2026: The Ninth ACM/IEEE Workshop on Security and Privacy in Edge Computing Location and conference context: ACM/IEEE SEC 2026, Santa Clara, CA, USA Status: Program details to be announced
Workshop 4	EdgeCAV 2026: The 2nd International Workshop on Edge Computing for Connected and Autonomous Vehicles Format: Full-day workshop Location and conference context: ACM/IEEE SEC 2026, Santa Clara, CA, USA Status: Program details to be announced
Workshop 5	Workshop on Trustworthy Edge Intelligence: Federated Learning and Unlearning in Distributed Systems Format: Half-day workshop Location and conference context: ACM/IEEE SEC 2026, Santa Clara, CA, USA Status: Program details to be announced