Program





Wednesday, Dec. 4, Room: Civinini     
  8:30 Registration
  8:45-9:00 Opening Remarks
  9:00-10:00 Keynote 1: Unlocking the Potential of AI at the Edge: Opportunities and Challenges
Pablo Rodriguez
(Google)
  10:00-10:30 Coffee Break
  10:30-12:00 Session 1 - Edge Resource Management and Optimization
Chair: Eyal de Lara

1. EdgeCore: Resource Dependency-Aware Multi-Tenant Orchestration for Mobile Edge Clouds. 
Amran Haroon, Liuyi Jin, Radu Stoleru (Texas A&M University); Maxwell (Maurice); Roger (Blalock)

2. Righteous: Automatic Right-sizing for Complex Edge Deployments. 
Aniruddha Rakshit (Binghamton University); Salil Reddy, Rajiv Ramnath, Anish Arora (The Ohio State University); Jayson Boubin (Binghamton University)

3. Colibri: Efficient Collection of Fine-grained Resource Metrics Necessary for Mobile Edge Computing. 
Ke-Jou Hsu, Ketan Bhardwaj, Ada Gavrilovska (Georgia Institute of Technology)

  12:00-13:30 Lunch
  13:30-15:00 Session 2 - Fault Tolerance and Energy Efficiency
Chair: Alexandre da Silva Veith

1. Low-Energy On-Device Personalization for MCUs. 
Yushan Huang, Ranya Aloufi, Xavier Cadet, Josh Millar (Imperial College London); Yuchen Zhao (University of York); Payam Barnaghi (Imperial College London); Hamed Haddadi (Imperial College London & Brave Software)

2. CroMA: Enhancing Fault-Resilience of Machine Learning-Coupled IoT Applications. 
YOUSEF ALSHEHRI, Lakshmish Ramaswamy (University OF Georgia)

3. Camera: Churn-Tolerant Mutual Exclusion for the Edge. 
Aman Khinvasara (University of Illinois at Urbana-Champaign); Indranil Gupta (University of Illinois Urbana-Champaign, USA)

  15:00-15:30 Coffee Break
  15:30-17:30 Session 3 - Learning and Inference at the Edge (4 papers)
Chair: Stephan Sigg

1. Stress-Testing USB Accelerators for Efficient Edge Inference. 
Alexander van der Staay (Chair for Enterprise Computing, TU Dortmund University); Raphael Fischer, Sebastian Buschjäger (Lamarr Institute for ML and AI, TU Dortmund University)

2. FusedInf: Efficient Swapping of DNN Models for On-Demand Serverless Inference Services on the Edge. 
Sifat Ut Taki (University of Notre Dame); Arthi Padmanabhan (Harvey Mudd College); Spyridon Mastorakis (University of Notre Dame)

3. An Accurate and Efficient Clustered Federated Learning for Mobile Edge Devices. 
Sudipta Saha Shubha, Haiying Shen (University of Virginia)

4. TA-ASF: Attention-sensitive Token Sampling and Fusing for Visual Transformer Models on the Edge. 
Junquan Chen (Yunnan University); Xingzhou Zhang (Chinese Academy of Sciences & University of Chinese Academy of Sciences); Wei Zhou (Yunnan University); Weisong Shi (University of Delaware)

  18:00-19:30 Poster/Demo/Reception

#16. Poster: LiDAR Utilisation for Enhanced Vehicle Capabilities 
Aleksi Vuorinen (University of Oulu); Ella Peltonen (University of Oulu)

#17. Poster: Multimodal Data Analytics and Machine Learning for Software-Defined Vehicles 
Benjamin Kämä (University of Oulu); Ella Peltonen (University of Oulu)

#19. Demo: Edge Federated Learning over a LoRa Mesh Network 
Nil Llisterri Giménez (Universitat Politècnica de Catalunya); Felix Freitag (Universitat Politècnica de Catalunya); Leandro Navarro (Universitat Politècnica de Catalunya); Mennan Selimi (South East European University)

#22. (🏆 Best Poster) Poster: Feasibility of Runtime-Neutral Wasm Instrumentation for Edge-Cloud Workload Handover 
Yuki Nakata (SAKURA internet Inc. / Future University Hakodate); Katsuya Matsubara (Future University Hakodate)

#24. Poster: Lagrange-Based Optimized Forwarding Strategy for Information-Centric Vehicular Networks 
Muhammad Nadeem Ali (Hongik Univeristy, Sejong Campus); Muhammad Imran (Hongik Univeristy, Sejong Campus); Ihsan Ullah (Hongik Univeristy, Sejong Campus); Byung-Seo Kim (Hongik Univeristy, Sejong Campus)

#31. Poster: Developing A Self-Explanatory Transformer 
Rasha Karakchi (University of South Carolina); Ryan Karbowniczak (University of South Carolina)

#35. Poster: Clipped Quantization and Huffman Coding for Efficient Secure Transfer in Federated Learning 
Seung-Ho Lim (Hankuk University of Foreign Studies); Min Choi (Chungbuk National University); Ki-Woong Park (Sejong University)

#39. Demo: Spiderweb - Reliability of AI on the Edge, effects of hardware disturbances on machine learning software 
Jens Vankeirsbilck (KU Leuven); Jeroen Boydens (KU Leuven)

#45. Demo: Backdoor Through the Front Door: Demonstrating Security Flaws in the Eufy Ecosystem 
Victor Goeman (KU Leuven); Tom Cordemans (KU Leuven); Dairo de Ruck (KU Leuven); Jorn Lapon (KU Leuven); Vincent Naessens (KU Leuven)

#68. Poster: Robust edge-based detection of bot attacks through federated learning 
Javier Martinez Llamas (DistriNet, KU Leuven); Davy Preuveneers (DistriNet, KU Leuven); Wouter Joosen (DistriNet, KU Leuven)

#71. (🏆 Best Demo) Demo: End-to-End Service Quality Manager for Edge Computing 
Jaime Sebastian Burbano (University of Applied Sciences Dortmund); Mohammad Amin Salimi (University of Applied Sciences Dortmund); Eldiyar Zhantileuov (University of Applied Sciences Dortmund); Rolf Schuster (University of Applied Sciences Dortmund)

#85. Demo: Emulation Platform to Build Digital Twins of Edge Computing Environments 
Urwah Muslim (Fachochshule Dortmund); Stephan Recker (Fachhochschule Dortmund)

#87. Poster: Implementing Data Reduction at The Middle Point on The Computing Continuum 
Yusuke Tanimura (National Institute of AIST)

#88. Poster: Energy-aware Model Partitioning for Edge AI 
Dewant Katare (TU Delft); Mengying Zhou (TU Delft); Yang Chen (Fudan University); Marijn Janssen (TU Delft); Aaron Yi Ding (TU Delft)

#92. Poster: Adapting XR Perception Serving for Edge Server Scalability 
Jin Heo (Georgia Tech); Ada Gavrilovska (Georgia Tech)

#99. Poster: Reliable 3D Reconstruction for Ad-hoc Edge Implementations 
Md. Nurul Absur (City University of New York); Saptarshi Debroy (City University of New York); Swastik Brahma (University of Cincinnati)

Thursday, Dec. 5, Room: Civinini     
  8:30 Registration
  9:00-10:00 Keynote 2: Edge Clouds & AI in Digital Enterprises
Volker Hilt
(Nokia Bell Labs)
  10:00-10:30 Coffee Break
  10:30-12:00 Session 4 - Edge Computing for Video and Image Analytics
Chair: Mahadev Satyanarayanan

1. OVIDA: Orchestrator for Video Analytics on Disaggregated Architecture. 
Manavjeet Singh, Sri Pramodh Rachuri, Bryan Bo Cao, Abhinav Sharma, Venkata Bhumireddy, Anshul Gandhi (Stony Brook University); Francesco Bronzino (École Normale Supérieure de Lyon); Samir Das, Shubham Jain (Stony Brook University)

2. VideoJam: Self-Balancing Architecture for Live Video Analytics. 
Youssouph Faye (Université Savoie Mont Blanc); Francesomaria Faticanti (École Normale Supérieure de Lyon); Shubham Jain (Stony Brook University); Francesco Bronzino (École Normale Supérieure de Lyon)

3. Optimizing Edge Offloading Decisions for Object Detection. 
Jiaming Qiu, Ruiqi Wang (Washington University in St. Louis); Brooks Hu (Northwestern University); Roch Guerin, Chenyang Lu (Washington University in St. Louis)

  12:00-13:30 Lunch
  13:30-15:00 Session 5 - Mobile Edge Applications
Chair: Ella Peltonen

1. The OODA Loop of Cloudlet-based Autonomous Drones. 
Mihir Bala, Aditya Chanana, Xiangliang Chen, Qifei Dong, Thomas Eiszler (Carnegie Mellon University);Jingao Xu (CMU); Padmanabhan Pillai (Intel Labs); Mahadev Satyanarayanan (Carnegie Mellon University)

2. EcoEdgeInfer: Dynamically Optimizing Latency and Sustainability for Inference on Edge Devices. 
Sri Pramodh Rachuri, Nazeer Shaik, Mehul Choksi, Anshul Gandhi (Stony Brook University)

3. Accurate and Ubiquitous Floor Identification on the Edge Using a Single Cell Tower. 
Sherif Mostafa, Moustafa Youssef (The American University in Cairo); Khaled A. Harras (Carnegie Mellon University)

  15:00-15:30 Coffee Break
  15:30-17:00 Session 6 - Processing and Testing at the Edge
Chair: Volker Hilt

1. Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge. 
Jenna M Kline, Austin O'Quinn, Tanya Berger-Wolf, Christopher Stewart (The Ohio State University)

2. (🏆 Best Paper Award) Falcon: Live Reconfiguration for Stateful Stream Processing on the Edge. 
Pritish Mishra (University of Toronto); Nelson Bore (McGill University); Brian Ramprasad, Myles Thiessen, Moshe Gabel (University of Toronto); Alexandre da Silva Veith (Nokia Bell Labs); Oana Balmau (McGill University); Eyal de Lara (University of Toronto)

3. Where is the Testbed for my Federated Learning Research? 
Janez Bozic (University of Ljubljana); Amandio R Faustino (KAUST); Boris Radovic (KAUST / University of Ljubljana); Marco Canini (KAUST); Veljko Pejovic (University of Ljubljana)

  18:00-22:00 Social Tour + Dinner
Friday, Dec. 6, Room: Civinini     
  8:30 Registration
  9:00-10:00 Panel: Unlocking Innovation at the Edge: Stories and Experiences
Panelists:
Lei Zhong,
Jeff White,
Aaron Ding
  10:00-10:30 Coffee Break
  10:30-12:00 Session 7 - Edge and Cloud
Chair: Weisong Shi

1. HyperDrive: Scheduling Serverless Functions in the Edge-Cloud-Space 3D Continuum. 
Cynthia Marcelino, Thomas Pusztai, Stefan Nastic (TU Wien)

2. Elastic Execution of Multi-Tenant DNNs on Heterogeneous Edge MPSoCs. 
Soroush Heidari (Arizona State University); Mehdi Ghasemi (Southern Illinois University); Young Geun Kim (Korea University); Carole-Jean Wu (Meta); Sarma Vrudhula (Arizona State University)

3. (🏆 Best Paper Runner-up) Meunik: Rethinking Virtual Machine Memory Resource Management for Unikernel-based VMs. 
Yongshu Bai (Zhejiang Lab); Xin Zhang, Yifan Zhang (Binghamton University)

  12:00-13:30 Lunch
  13:30-15:00 Session 8 - Edge Networking and Connected Vehicles (3 Papers)
Chair: Jeff White

1. An Efficient Data Transmission Framework for Connected Vehicles. 
Yichen Luo (William & Mary); Yongtao Yao (University of Delaware); Junzhou Chen, Sidi Lu (William & Mary); Weisong Shi (University of Delaware)

2. Performance Analysis of Lightweight Container Orchestration Platforms for Edge-Based IoT Applications. 
Muhammad Usman, Simone Ferlin, Anna Brunstrom (Karlstad University)

3. Seer: A Framework for Optimizing Traffic Camera Placement and Deep Learning Inference at the Edge for Vehicle Path Reconstruction. 
Siddhant Jain, Kunal Jain (International Institute of Information Technology, Hyderabad); Arun Ravindran (The University of North Carolina at Charlotte); Suresh Purini (IIIT Hyderabad)

  15:00-15:30 Coffee Break
  3:30-5:00 Session 9 - Journal Paper Session
Chair: Yifan Zhang

1. Finding Representative Sampling Subsets in Sensor Graphs Using Time-series Similarities. 
Roshni Chakraborty, Josefine Holm, Torben Bach Pedersen, Petar Popovski (Aalborg University, Denmark)
ACM Transactions on Sensor Networks: https://doi.org/10.1145/3595181

  17:00 Conclusion Remarks
Workshops - Dec 7, 2024     
 09:00 AM - 10:00 AM Room I: SMVG (3)
Room II: INTERACT (3)
 10:00 AM - 10:30 AM Coffee Break
 11:30 AM – 12:00 PM Room I: SMVG (5)
Room II: INTERACT (4)
 12:00 PM – 1:00 PM Lunch
 1:00 PM - 1:45PM Keynote
 1:45 PM - 2:00 PM Break
 2:00 PM - 4:00 PM Room I: EdgeSP + IMDT (5)
Room II: Edge Intelligence (5)
 4:00 PM Closing
Workshops
  9:00 – 10:00 AMSMVG 1
Session Chair: Marco Furini (Università degli Studi di Modena e Reggio Emilia)
1. Adaptive Frame-Aware Network for Driver Monitoring Systems
Khaled Chikh and Roberto Cavicchioli (Università degli Studi di Modena e Reggio Emilia)
2. Smart Mobility Applications Supported by NTN: Addressing the Need for Low Per-Packet Delays
Armir Bujari (University of Bologna), Mirko Franco, Salah Eddine Merzougui, Claudio E. Palazzi (University of Padova), Lasse Bramer Schmidt (University of Aarhus)
3. Integrating Smart Traffic Lights for Enhanced Urban Air Quality in Smart Cities
Giacomo Cabri, Denny Ciccia, Manuela Montangero, and Filippo Muzzini (Università degli Studi di Modena e Reggio Emilia)
  10:30 AM – 12:10 PMSMVG 2
Session Chair: Manuela Montangero (Università degli Studi di Modena e Reggio Emilia)
1. Exploring Human and Artificial Attention Mechanisms in Driving Scenarios
Martin Rechberger (TU Graz, AT), Daniel Kraus (Pro2Future GmbH), Peter Priller (AVL List GmbH), Olga Saukh (TU Graz, AT)
2. Smart Path Planner: Enhancing Personalized Navigation and Environmental Awareness
Rini Apriyanti, Riccardo Neri, Luca Bedogni (Università degli Studi di Modena e Reggio Emilia)
3. Effects of Geohashing and K-means Clustering on Uniqueness in a mobility dataset
Andrea Artioli, Luca Bedogni, Mauro Andreolini (Università degli Studi di Modena e Reggio Emilia)
4. Towards a Distributed Data Mesh Model for the IoT–Edge–Cloud Continuum in Smart Cities
Enrico Rossini, Nicola Bicocchi, Natalia Selini Hadjidimitriou, Marcello Pietri, Marco Picone, Marco Mamei (Università degli Studi di Modena e Reggio Emilia)
5. Enabling Accurate and Timely Prognostics for Aircraft Turbofan Engines
Philippa Scroggins, Sidi Lu (William & Mary, USA)
  1:00-1:45 pm Keynote 3: Arduino in the emerging field of Edge AI
David Cuartielles
(Co-founder of the Arduino platform, Head of the Interaction Design Masters, Researcher at the Sustainable Digitalisation Research Centre at Malmö University, Sweden)
  2:00 – 4:00 PMEdgeSP + IMDT
Session Chair: Safwan Omari (Lewis University) and Huanle Zhang (Shandong University)
1. GT-Craft: A Framework for Fast Prototyping Geospatial-based Digital Twins in Unity 3D
Jin Heo (Georgia Tech), Thomas Novlan, Salam Akoum (AT&T Labs), Ada Gavrilovska (Georgia Tech)
2. Are we there yet? – Use Cases and Requirements for the Industrial Metaverse
Florian Heimann, Oliver Wetter, Philip Wette (HSBI - Hochschule Bielefeld – University of Applied Sciences and Arts, Minden, Germany)
3. Privacy Protection in WiFi Sensing via CSI Fuzzing
Tianyang Zhang (Shandong University, China), Bozhong Yu (Northwest University, China), Yaxiong Xie (University at Buffalo, USA), Huanle Zhang (Shandong University, China)
4. SecFePAS: Secure Facial-expression-based Pain Assessment with Deep Learning at the Edge
Kanwal Batool (University of Amsterdam (UvA), the Netherlands), Saleem Anwar, Zoltan Mann (Rotterdam University of Applied Sciences, the Netherlands)
5. Intent-driven Data Falsification Attack on Collaborative IoT-Edge Environments
Shima Yousefi (City University of New York), Shameek Bhattacharjee (Western Michigan University), Saptarshi Debroy (City University of New York)
  8:45 – 10:00 AMINTERACT 1
Session Chair: Pietro Manzoni (Universitat Politècnica de València, Spain)
1. Detection and Classification of High Energy Cosmic Rays using TinyML
Moez Altayeb, Marco Zennaro (ICTP)
2. On Tiny Feature Engineering: towards an embedded EMG-based hand gesture recognition model
Andres D. Gomez-Bautista, Diego Mendez, Catalina Alvarado-Rojas, Ivan F. Mondragon, Julian D. Colorado (Pontificia Universidad Javeriana)
3. Tiny, Distributed, and Eco-optimized: Proposal of Design Guidelines for Environmentally Friendly ML Devices
David Joaquin Cuartielles Ruiz (Arduino AB), Géczy Attila (Budapest Univ. of Tech. and Economics), Pascal Xavier, Vincent Grennerat (Univ. Grenoble Alpes)
  10:30 AM – 12:00 PMINTERACT 2
Session Chair: Marco Zennaro (ICTP)
1. An Analysis of Network Overhead in Distributed TinyML
Ket Hollingsworth (Harvey Mudd College), Sean Nian (San Jose State University), Alan Gutierrez, Arthi Padmanabhan (Harvey Mudd College)
2. A Comparison between Classical and Quantum Machine Learning for Mobile App Traffic Classification
Vincenzo Spadari (University of Naples "Federico II"), Idio Guarino (University of Verona), Domenico Ciuonzo, Antonio Pescapè (University of Naples "Federico II")
3. Smart Split: Leveraging TinyML and Split Computing for Efficient Edge AI
Fabio Bove, Luca Bedogni (University of Modena and Reggio Emilia)
  2:00 – 4:00 PMEdge Intelligence
Session Chair: Jaya Prakash Champati (IMDEA Networks Institute, Madrid)
1. DiCE-M: Distributed Code Generation and Execution for Marine Applications - An Edge-Cloud Approach
Giuseppe Coviello, Kunal Rao, Gennaro Mellone, Ciro Giuseppe De Vita, Srimat Chakradhar (NEC Laboratories America, Inc.)
2. Hierarchical Inference at the Edge: A Batch Processing Approach
Afroditi Letsiou, Vishnu Narayanan Moothedath, Adarsh Prasad Behera (KTH Royal Institute of Technology), Jaya Prakash Champati (University of Victoria, British Columbia, Canada), James Gross (KTH Royal Institute of Technology Stockholm, Sweden)
3. Beyond Federated Learning: Survival-Critical Machine Learning
Eric Sturzinger, Mahadev Satyanarayanan (Carnegie Mellon University)
4. Edge-Aware Dual Branch Network for Nucleus Instance Segmentation
Junzhou Chen, Yanfu Zhang, Sidi Lu (William & Mary)
5. FedSLO: Towards SLO Guarantee for Federated Computing
Hao Che, Todd Rosenkrantz, Hong Jiang. Zhijun Wang (University of Texas at Arlington)