Program



Program at a Glance
  Day 1Tuesday, Oct. 13

8:45-9:00   Opening (Williman Room, Benson Center Building)
9:00-10:00   Keynote 1 (CA Mission Room, Benson Center Building)
10:00-10:30   Break
10:30-12:30   Serverless Computing and Orchestration (Williman Room, Benson Center Building)
12:30-13:45   Lunch
13:45-15:30   Short Papers I: Edge Systems and Security (Williman Room, Benson Center Building)
15:30-16:00   Break
16:00-18:30   Poster and Demo Session (Benson 101 (Parlors) B&C, Benson Center Building)
18:30   Banquet (CA Mission Room, Benson Center Building)
  Day 2Wednesday, Oct. 14

9:00-10:00   Keynote 2 (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 3Thursday, Oct. 15

9:00-10:00   Keynote 3 (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
Tuesday, Oct. 13
  8:45-9:00Opening
Williman Room, Benson Center Building
  9:00-10:00Keynote 1
CA Mission Room, Benson Center Building
  10:00-10:30Break
  10:30-12:30Serverless Computing & Orchestration
Williman Room, Benson Center Building

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)
  12:30-13:45Lunch
  13:45-15:30Short Papers I: Edge Systems & Security
Williman Room, Benson Center Building

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)
  15:30-16:00Break
  16:00-18:30Poster and Demo Session
Benson 101 (Parlors) B&C, Benson Center Building
  18:30Banquet
CA Mission Room, Benson Center Building
Wednesday, Oct. 14
  9:00-10:00Keynote 2
CA Mission Room, Benson Center Building
  10:00-10:30Break
  10:30-11:30Video Analytics
Williman Room, Benson Center Building

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)
  11:30-12:30Panel
Williman Room, Benson Center Building
  12:30-13:50Lunch
  13:50-15:30Networking and Cross-Modal Coordination
Williman Room, Benson Center Building

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)
  15:30-16:00Break
  16:00-17:00Scheduling
Williman Room, Benson Center Building

1. 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)

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
  9:00-10:00Keynote 3
CA Mission Room, Benson Center Building
  10:00-10:30Break
  10:30-12:30LLMs and Foundation Models
Williman Room, Benson Center Building

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)
  12:30-13:40Lunch
  13:40-15:00Autonomy
Williman Room, Benson Center Building

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. 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)
  15:00-15:30Break
  15:30-17:00Short Papers II: Edge Learning & Optimization
Williman Room, Benson Center Building

1. DOS-AFL: Decentralized Offloading-Scheduling for Asynchronous Edge Federated Learning
Bipul Thapa, Jianbo Zhang, Lena Mashayekhy (U. Delaware)

2. LGG-MAPPO: A Graph Multi-Agent Deep Reinforcement Learning Method for Task Offloading in Mobile Edge Computing
Yiqiu Zhao, Yongjian Fan, Yue Cai, Bing Chen (Nanjing University of Aeronautics and Astronautics)

3. 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)

4. Closing the Loop on the Edge: System-Level Co-Design for Autonomous Mosquito Monitoring
Danika Gupta (The Harker School); Ming Zhao (Arizona State University)

5. AdaMoE-Tiny: Bridging Static Pruning and Dynamic Sparsity for Memory-Constrained TinyML
Shuai Wang, Jingxuan Wang, Hongxiao Wang, Keni Qiu (Capital Normal University)

6. 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)
  17:00Adjourn
Friday, Oct. 16: Workshops
  ProgramSEC 2026 Workshop Day

Please visit the SEC 2026 Workshops page for the current list of workshops and program information.