| Program at a Glance | |
| Day 1 | Tuesday, Oct. 13 8:45-9:00 Opening (Williman Room, Benson Center Building) 9:30-10:45 Keynote 1: From Connected Vehicles to Cognitive Infrastructure (CA Mission Room, Benson Center Building) 10:45-11:15 Break 11:15-13:15 Serverless Computing and Orchestration (Williman Room, Benson Center Building) 13:15-14:30 Lunch 14:30-16:15 Short Papers I: Edge Systems and Security (Williman Room, Benson Center Building) 16:15-16:45 Break 16:45-19:15 Poster and Demo Session (Benson 101 (Parlors) B&C, Benson Center Building) 19:15 Banquet (CA Mission Room, Benson Center Building) |
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| Day 2 | Wednesday, Oct. 14 9:00-10:00 Keynote 2: “This is Not a Testbed” (CA Mission Room, Benson Center Building) 10:00-10:30 Break 10:30-11:30 Video Analytics (Williman Room, Benson Center Building) 11:30-12:30 Panel (Williman Room, Benson Center Building) 12:30-13:50 Lunch 13:50-15:30 Networking and Cross-Modal Coordination (Williman Room, Benson Center Building) 15:30-16:00 Break 16:00-17:00 Scheduling (Williman Room, Benson Center Building) |
| Day 3 | Thursday, Oct. 15 9:00-10:00 Keynote 3: Beyond the Grid (CA Mission Room, Benson Center Building) 10:00-10:30 Break 10:30-12:30 LLMs and Foundation Models (Williman Room, Benson Center Building) 12:30-13:40 Lunch 13:40-15:00 Autonomy (Williman Room, Benson Center Building) 15:00-15:30 Break 15:30-17:00 Short Papers II: Edge Learning and Optimization (Williman Room, Benson Center Building) 17:00 Adjourn |
| Day 4 | Friday, Oct. 16 9:00-10:00 Keynote 4: Solving the Generative AI Trust Challenge for Physical AI 10:00-15:00 DroneSys 2026: The 2nd Workshop on Autonomous Drone Computing Systems and Applications (Parlors C) 10:00-15:00 Edge Intelligence 2026: The 3rd Workshop on Edge Intelligence (Williman Room) 14:00-16:00 EdgeSP 2026: The 9th ACM/IEEE Workshop on Security and Privacy in Edge Computing (Parlors B) 10:00-12:40 EdgeCAV 2026: The 2nd International Workshop on Edge Computing for Connected and Autonomous Vehicles (Parlors B) |
| Tuesday, Oct. 13 | |
| 8:45-9:00 | Opening Williman Room, Benson Center Building |
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| 9:30-10:45 | Keynote 1: From Connected Vehicles to Cognitive Infrastructure: The Next Grand Challenge for Edge Computing Dr. Onur Altintas (Toyota InfoTech Labs) CA Mission Room, Benson Center Building |
| 10:45-11:15 | Break |
| 11:15-13:15 | Serverless Computing & Orchestration Williman Room, Benson Center Building Session Chair: Dimitrios Tomaras, University of Nicosia Athens 1. Gresse: Geo-Replicated Stateful Serverless for the Edge Adam Hasselberg (Research Institutes of Sweden); Paris Carbone, György Dán (KTH Royal Institute of Technology) 2. DOME: Dynamic On-Premise MCP Edge Orchestration for AI Agents Cheng-Chia Lai, Tun-Yuan Chang, Cheng-Hsin Hsu (National Tsing Hua University) 3. Atlas: Optimizing Deployment of Compound AI Workflows on Heterogeneous Clusters Milos Gravara, Andrija Stanisic (Distributed Systems Group, TU Wien); Stefan Nastic (TU Wien) 4. On the Design of Hierarchical Warm Pools for Multi-Tenant Serverless Computing Chu Qiao, Xing Gao (University of Delaware); Zhenkai Zhang (Clemson University); Yuede Ji (The University of Texas at Arlington) 5. CEDD-optimizer: Enabling Cost-Efficient Dataset Distillation on Geographically Distributed Edge Systems Dai Liu, Eishi Arima, Martin Schulz (Technical University of Munich) 6. PRICE: Pricing-based Resource Incentives for Quality-of-Result-aware Computing at the Edge Uwe Gropengießer, Sebastian Frenz, Max Mühlhäuser (Technical University of Darmstadt) |
| 13:15-14:30 | Lunch |
| 14:30-16:15 | Short Papers I: Edge Systems & Security Williman Room, Benson Center Building Session Chair: Jenna Kline, Massachusetts Institute of Technology 1. ASTRA: Adaptive Streaming for Real-Time Video Analytics Mahshid Ghasemi, Zoran Kostic, Javad Ghaderi, Gil Zussman (Columbia University) 2. Scalable Edge-assisted Fusion and Path Prediction for Connected Autonomous Vehicles Tyler Landle, Jackson Isenberg, Abhijit Chatterjee (Georgia Institute of Technology); Alexandros Daglis (University of Edinburgh & Georgia Institute of Technology); Kishore Ramachandran (Georgia Tech) 3. ncsim: A Lightweight Simulator for Networked Edge Computing with Wireless Interference Modeling Bhaskar Krishnamachari, Maya Gutierrez (University of Southern California); Jared Coleman (Loyola Marymount University) 4. RapidViT: Training-Free Token Pruning Framework for Efficient Vision Transformer Deployment at the Edge Pritom Biswas Udas, Anik Mallik (Towson University) 5. EdgePerf: Maintaining Runtime-Valid Capability Profiles for Edge AI Placement Xiaotian Zhou, Dipankar Raychaudhuri (Rutgers University) 6. MAST: A Two-Stage Mission-Aware Framework for Detecting Temporal Misalignment Attacks Md Nafis Tahmid Akhand, Md Mahfuzul Haque Gazi (Louisiana Tech University); Abdullah Al Arafat (Florida International University); Kewei Sha (University of North Texas); Md Rubel Ahmed (Louisiana Tech University) 7. A Unified Edge Runtime for Multilingual NLP with Static and Distilled LLM Features S Mahmudul Hasan, Lu Peng (Tulane University) |
| 16:15-16:45 | Break |
| 16:45-19:15 | Poster and Demo Session Benson 101 (Parlors) B&C, Benson Center Building |
| 19:15 | Banquet CA Mission Room, Benson Center Building |
| Wednesday, Oct. 14 | |
| 9:00-10:00 | Keynote 2: “This is Not a Testbed”: How to Build and Operate Experimental Infrastructure Kate Keahey (Argonne National Laboratory and University of Chicago, USA) CA Mission Room, Benson Center Building |
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| 10:00-10:30 | Break |
| 10:30-11:30 | Video Analytics Williman Room, Benson Center Building Session Chair: Marco Brocanelli, The Ohio State University 1. ALBIREO: Adaptive, Energy-Efficient Inference Framework for Video Object Detection on the Edge Amir Taherin, Yanzhi Wang, David Kaeli (Northeastern University); José Cano (University of Glasgow); Bin Ren (William and Mary) 2. E2-AVID: Content-Adaptive Motion-Aware Video Stream Processing for Energy-Efficient Edge Inference Dimitrios Tomaras, Vana Kalogeraki (Athens University of Economics and Business); Dimitrios Gunopulos (National and Kapodistrian University of Athens) 3. Lizard: Bandwidth-Adaptive Real-Time Video Analytics through Content-Aware Packet Discarding at Last-Mile Edge Routers Shan Yu, Harry Xu (University of California, Los Angeles); Yu Chen (Renmin University of China); Yifan Qiao (UC Berkeley); Sheng Zhang (Nanjing University); Ravi Netravali (Princeton University) |
| 11:30-12:30 | Panel Williman Room, Benson Center Building |
| 12:30-13:50 | Lunch |
| 13:50-15:30 | Networking and Cross-Modal Coordination Williman Room, Benson Center Building Session Chair: Syed Rafay Hasan, Tennessee Technological University 1. A Blueprint for Cross-Modal Coordination at the Far Edge Jenna Kline, Anirudh Potlapally, Yuanyang Chen, Tanya Berger-Wolf, Hari Subramoni, Christopher Stewart (Ohio State University) 2. CAFE: Compressed Architecture for Edge-Deployed Facial Expression Recognition in Ambient Invisible Intelligence Mohammad Mahruf Mahdi, Abhijeet Solanki, Syed Rafay Hasan, Terry Guo, Syed Ali Asad Rizvi (Tennessee Technological University) 3. Elastic UPF Selection for NextG Cellular Networks Marco Colocrese (VodafoneZiggo); Nitinder Mohan, George Iosifidis (TU Delft); Fernando Kuipers (Delft University of Technology) 4. MANTIS: Modulated Adaptive Neural Compression for Task-Informed Split Computing Jared Macshane, Nalini Venkatasubramanian (University of California, Irvine) 5. SmartOTA-Bench: Replay-Correct and Deployment-Aware Benchmarking of OTA Update Planning Arpan Bhattacharjee, Weisong Shi (University of Delaware) |
| 15:30-16:00 | Break |
| 16:00-17:00 | Scheduling Williman Room, Benson Center Building Session Chair: Anik Mallik, Towson University 1. The Internet of Collaborating Things: Agentic Edge AI for Autonomous Cross-Domain Collaboration Walid Abdelrahman Hanafy, David Irwin, Prashant Shenoy (University of Massachusetts Amherst); Nader Sehatbakhsh (UCLA); Mani Srivastava (University of California, Los Angeles and Amazon AWS) 2. FADOS: Fair and Deadline-Aware Virtual Object Decimation Scheduling at the Edge Ze Li, Marco Brocanelli (The Ohio State University) 3. OCCAMY: Latency-Aware Scheduling with Controlled Degradation for Mixed-Criticality AI at the Edge Yinan Cao, Etienne Rivière, Ramin Sadre (UCLouvain); Patient Ntumba Wa Ntumba, Stefano Secci (CNAM) |
| Thursday, Oct. 15 | |
| 9:00-10:00 | Keynote 3: Beyond the Grid: Rethinking Energy for the AI-Powered Intelligence Era Cullen Bash (Hewlett Packard Enterprise, USA) CA Mission Room, Benson Center Building |
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| 10:00-10:30 | Break |
| 10:30-12:30 | LLMs and Foundation Models Williman Room, Benson Center Building Session Chair: Zheng Dong, Wayne State University 1. WASP: Foundation Model Training System for the Edge Leyang Xue, Yufeng Xia, Mahesh Marina (University of Edinburgh); Myungjin Lee (Cisco Research) 2. Multi-Modal LLMs at the Edge: A Comparative Study Against Specialized Edge Pipelines Stefan Petrescu, Jan S. Rellermeyer (Leibniz University Hannover); Roberto Morabito (EURECOM) 3. Where to Strike? Explanation-Guided Layer Selection for Poisoning Federated LLMs Amir Faiyaz, Rukayat Olapojoye, Samin Dehbashi Sani, Tara Salman (Texas Tech University) 4. Preserving Prompt Families: Family-Aware Cache Retention for Interleaved Edge LLM Inference Jianbo Zhang, Bipul Thapa, Xinyang Shen, Lena Mashayekhy (University of Delaware) 5. Zsiga: Adaptive Graph Shaping for Connected Components on Heterogeneous Edge Clusters Chaeeun Kim, Cheng-Wei Ching, Rohan Pradhan, Chen Qian, Liting Hu (University of California Santa Cruz) 6. ContextStation: Rethinking the Edge Serving Tier for Situated Agentic Workloads in the On-Device LLM Era Zihao Ding, Xiaotian Zhou, Dipankar Raychaudhuri, Yao Liu (Rutgers University) |
| 12:30-13:40 | Lunch |
| 13:40-15:00 | Autonomy Williman Room, Benson Center Building Session Chair: Christopher Stewart, The Ohio State University 1. INSIGHT: Outcome Driven Event Recording for Autonomous Vehicles Yuxin Wang, Weisong Shi (University of Delaware) 2. Edge-Assisted Vehicle Perception Using DNN-Based Elastic Models Ruiqi Wang, Guohong Cao (Pennsylvania State University) 3. Hardware-Attested Secure Communication for Unmanned Vehicles in Adversarial Environments Bishwas Wagle, Kiran Neupane, Subrahmanya Chandra Bhamidipati, Kevin Kostage, Roshan Neupane, Prasad Calyam (University of Missouri-Columbia); Bishnu Bhusal (University of Missouri - Columbia); Reshmi Mitra (Southeast Missouri State University); Vijay Anand (Kennasaw State University); Rohit Chadha (University of Missouri) 4. CHEIS: Distributed Pipeline Optimization in Real-Time Inference Serving at the Edge Lucas Liebe, Thanh-Tung Nguyen, Nhat-Quang Tau, Dongman Lee (Korea Advanced Institute of Science and Technology) |
| 15:00-15:30 | Break |
| 15:30-17:00 | Short Papers II: Edge Learning & Optimization Williman Room, Benson Center Building Session Chair: Chen Qian, University of California, Santa Cruz 1. DOS-AFL: Decentralized Offloading-Scheduling for Asynchronous Edge Federated Learning Bipul Thapa, Jianbo Zhang, Lena Mashayekhy (U. Delaware) 2. HYDRA: Multi-Level Ensemble Learning for Failure-Resilient Edge Inference Krishna Praneet Gudipaty, Walid Abdelrahman Hanafy, Nathan Ng (University of Massachusetts Amherst); Kaan Ozkara, Qianlin Liang (Amazon); Jesse Milzman (Army Research Laboratory); David Irwin (University of Massachusetts Amherst); Suhas Diggavi (UCLA); Prashant Shenoy (University of Massachusetts Amherst) 3. Closing the Loop on the Edge: System-Level Co-Design for Autonomous Mosquito Monitoring Danika Gupta (The Harker School); Ming Zhao (Arizona State University) 4. AdaMoE-Tiny: Bridging Static Pruning and Dynamic Sparsity for Memory-Constrained TinyML Shuai Wang, Jingxuan Wang, Hongxiao Wang, Keni Qiu (Capital Normal University) 5. Learning to Sync at the Edge: Client-Side Adaptive Synchronization for Federated Learning Ebasa Temesgen, Ammar Ahmed (University of Minnesota); Nathan Lechamo (University of Texas at San Antonio); Ali Anwar, Maria Gini (University of Minnesota) |
| 17:00 | Adjourn |
| Friday, Oct. 16: Workshops | |
| 9:00-10:00 | Keynote 4: Solving the Generative AI Trust Challenge for Physical AI Jeff White (EY) |
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| DroneSys 2026: The 2nd Workshop on Autonomous Drone Computing Systems and Applications Room: Parlors C | Estimated number of attendees: 10-20 | |
| 10:00-10:15 | Break + Opening Remarks |
| 10:15-11:30 | Session 1: Cyber Infrastructure for Edge Computing on Drone Session Chair: Liangkai Liu, Texas Tech 1. TwinFlight: An Open-Source Sim-To-Real Pipeline For Autonomous Drones Vijay Bajracharya, Zhuoyang Fu, Weisong Shi (University of Delaware) 2. IGNITE: A Multimodal UAV-Collected Dataset for Wildfire Detection Yiding Wang (American University); Zhaoxi Zhang, Chenzhi Zhao, Zhangyu Guan (University of Minnesota - Twin Cities); Dong L. Wu (NASA/GSFC); Leah Ding (American University) 3. HORIZON: Lightweight Mapless Navigation for Resource-Constrained Micro Robots in Dynamic Environments Omer Kurkutlu, Ryan Chien, Mahd Basit, Arman Roohi (University of Illinois Chicago) |
| 11:30-11:40 | Break |
| 11:40-12:30 | Session 2: Vision Papers and Emerging Applications Session Chair: Jayson Boubin, SUNY Binghamton 1. RT-RX: An Edge Computing Pipeline for Real-Time UAV Hyperspectral Anomaly Detection Jacqueline Liu (Binghamton University); Kara Combs (Air Force Research Lab); Jayson Boubin (Binghamton University) 2. Fleets Need a Context Plane: Rethinking Cooperative Perception for Autonomous Drones Liangkai Liu, Xiaoxiao Wu (Texas Tech University) |
| 12:30-14:00 | Lunch |
| 14:00-14:50 | Session 3: Privacy and Security Session Chair: Christopher Stewart, The Ohio State University 1. Aerial Zero Trust: Secure Ad-hoc UAV Swarm Communication in Large, Contested Environments Christopher Yu (Binghamton University); Ping Yang (State University of New York at Binghamton); Jayson Boubin (Binghamton University) 2. Beyond Valid Commands: Security Limits of Command Mediation in ROS2-PX4 UAVs Alberto Espinoza, Behzad Ousat, Raju Rangaswami, Amin Kharraz (Florida International University) |
| 14:50-15:00 | Closing Remarks |
| Edge Intelligence 2026: The 3rd Workshop on Edge Intelligence Room: Williman Room | Estimated number of attendees: 15-20 | |
| 10:00-10:30 | Break + Opening Remarks |
| 10:30-11:30 | Session 1: Distributed Inference Across Edge and Cloud (Large Language and Multimodal Models) Session Chair: TBD 1. Modeling Per-Token Latency of Split Autoregressive Decoding in Cellular Edge Systems Umakant Kulkarni (Nokia Bell Labs); Kevin Di Lallo, Chonggang Wang, Robert Gazda (InterDigital); Sonia Fahmy (Purdue University) 2. EMMI: Edge Multi-Modal Intelligence for Communication-Efficient MLLM Inference via Fused Representation Compression Motahare Mounesan, Irfan Khan (Texas A&M University) 3. Speculation at a Distance: Where Edge-Cloud Speculative Decoding Actually Pays Off Yuan Lyu, Bharath Irukulapati, Jaya Prakash Varma Champati (University of Victoria) |
| 11:30-11:40 | Break |
| 11:40-12:40 | Session 2: Inference on the Device: Robustness, Energy, and Interaction Session Chair: TBD 1. Towards Resilient Hierarchical Inference: An Initial Study under Local Model Corruption Vishnu Narayanan Moothedath, James Gross (KTH Royal Institute of Technology) 2. Keyword Matters: Unveiling the Energy Sensitivity of On-Device LLM Prompting Ruiyi Tao (affiliation TBD); Xiaolong Tu, Haoxin Wang (Georgia State University) 3. Technical Evaluation of Speech Recognition Models and Large Language Models in a Speech-Based Mobile Robot Teleoperation System Harish Ram Nambiappan, Chenxi Song, Andrew Truong, Fillia Makedon (The University of Texas at Arlington) |
| 12:40-14:00 | Lunch |
| 14:00-15:00 | Session 3: Federated and Trustworthy Edge Intelligence in Deployed Systems Session Chair: TBD 1. Edge-Native Federated Time-Series Anomaly Detection for Resource-Constrained IoMT Derek Mesa, Brenton Stevenson (Florida Gulf Coast University); Tiying Gao (Florida Atlantic University); Wenbin Guo (University of Florida); Chengyi Qu (Florida Gulf Coast University) 2. DeepFleet-Trust: Federated Edge Intelligence for Secure Agentic Multi-AUV Autonomy Mansahaj Popli, Navneet Kaur Popli, Ashmeet Singh (University of Victoria) 3. Edge Intelligence based Decision-Support Application for Coordinated Truck–Drone Logistics Kevin Kostage, Zack Murry, Subrahmanya Chandra Bhamidipati, Negar Javid, Sharan Srinivas (University of Missouri-Columbia); Chengyi Qu (Florida Gulf Coast University); Prasad Calyam (University of Missouri-Columbia) |
| EdgeSP 2026: The 9th ACM/IEEE Workshop on Security and Privacy in Edge Computing Room: Parlors B | Estimated number of attendees: 5-10 | |
| 14:00-14:10 | Opening Remarks |
| 14:10-14:30 | Delegation Chain Integrity: Measuring Authorization-Context Degradation Across Multi-Hop LLM Agents in Edge/Cloud Deployments Chandra Inguva, Nahid Farhady (Microsoft) |
| 14:30-14:50 | EchoGuard: Continuous Ultrasound-Based Human Presence Verification for AI Agent Detections Yizhu Wen (Indiana University Bloomington); Dharani Nadendla, Dong Li (University of Maryland, Baltimore County); Shirui Cao (University of Massachusetts Amherst); Renzhi Hao (None); Hanqing Guo (Indiana University Bloomington) |
| 14:50-15:00 | Break |
| 15:00-15:20 | ULTRASOUND WATERMARK: Real-time Acoustic Watermarking against Voice Scams on Smartphones Renzhi Hao (None); Shirui Cao (University of Massachusetts Amherst); Yizhu Wen, Hanqing Guo (Indiana University Bloomington); Rishav Gupta, Dharani Nadendla, Dong Li (University of Maryland, Baltimore County); Mehran Kafai (Amazon) |
| 15:20-15:40 | The Case for an Agentic Privacy Layer at the Edge Austin O'Quinn, Tanishka Wani, Christopher Stewart (The Ohio State University) |
| 15:40-16:00 | FALCON: Federated Analytics with Blockchain and Digital Twins for Trustworthy Fraud Detection Tiying Gao (College of Engineering & Computer Science, Florida Atlantic University, USA); Vladimir Petit-Homme, Sean Peppers, Chengyi Qu (U.A. Whitaker College of Engineering, Florida Gulf Coast University, USA); Juheng Zhang (Manning School of Business, University of Massachusetts Lowell, USA) |
| EdgeCAV 2026: The 2nd International Workshop on Edge Computing for Connected and Autonomous Vehicles Room: Parlors B | Estimated number of attendees: 30 | |
| 10:00-10:10 | Opening Remarks |
| 10:10-10:40 | EdgeCAV Keynote (Toyota Motor North America R&D) — Speaker and Title TBD 30 minutes including Q&A |
| 10:40-11:25 | Session 1: Edge–Cloud Intelligence and Foundation Models for Autonomous Driving Session Chair: Talha Azfar 1. Foundation Models for Edge Intelligence in Autonomous Driving: Opportunities and Challenges (Position Paper) Komala Subramanyam Cherukuri, Yunhe Feng, Kewei Sha (University of North Texas) 2. Risk-Adaptive Edge–Cloud Visual Reasoning for Communication-Efficient Autonomous Driving Meng Ma, Shuyang Li (Rensselaer Polytechnic Institute); Naigang Wang (IBM T. J. Watson Research Center); Ruimin Ke (Rensselaer Polytechnic Institute) 3. Semantic Edge Computing for Connected Autonomous Vehicles: Architectures, Applications, and Challenges Dawei Chen, Yitao Chen, Zhaobin Mo, Onur Altintas (InfoTech Labs, Toyota Motor North America R&D) |
| 11:25-11:35 | Break |
| 11:35-12:35 | Session 2: Cooperative Driving, Transit Analytics, and Edge Infrastructure Session Chair: Adian Cook 1. GHR-VLM: Making Zero-Shot Transit Video Analytics Realizable with Grounded Hybrid Reasoning Kaicong Huang, Weiheng Oh, Jack M. Reilly (Rensselaer Polytechnic Institute); Thomas Guggisberg (Capital District Transportation Authority); Ruimin Ke (Rensselaer Polytechnic Institute) 2. Game Theoretic Reasoning at the Edge: Model-Free and Model-Based Methods in Mixed Traffic Adian Cook (Oak Ridge National Laboratory); Subhadeep Chakraborty (University of Tennessee, Knoxville); Joe Beck (Oak Ridge National Laboratory); Zejiang Wang (University of Texas at Dallas) 3. Deadline-Aware Image-Inference Offloading for Mobile Robots in MEC Environments Using eBPF Atsushi Hitomi, Hiroaki Fukuda (Shibaura Institute of Technology) 4. Cooperative Platoon Routing and Dispatching via Edge-Assisted Hybrid Quantum Optimization Talha Azfar, Ruimin Ke (Rensselaer Polytechnic Institute) |
| 12:35-12:40 | Closing Remarks |
| 12:40-14:00 | Lunch |