⚠️ The time listed below is British Summer Time (BST) ~ UTC +1 ⚠️
Registration
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Opening Remarks08:50 - 09:00 |
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Session #1: Inference on Mobile SoCs09:00 - 09:55 |
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Understanding Concurrent DNN Interference on Mobile SoCsZilin Ye, Qianyi HUANG (Sun Yat-sen University) |
Phase Matters: Characterizing Heterogeneous Vision-Language Inference on a Mobile SoCAryama V Murthy, Yashas N Kotre, Prathmesh Sharma, Pragya Mishra, Sanjith Ganapathi, Priyesh Shukla (International Institute of Information Technology Hyderabad, India) |
ThermalPrint: ML Workload Classification via Thermal Side-ChannelsCenxi Tian, Soteris Demetriou (Imperial College London) |
Keynote #1: Dominic Pajak - Arm
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Coffee Break ☕10:35 - 10:55 |
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Session #2: ML Platforms and Evaluation Frameworks10:55 - 11:50 |
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Architecture Adaptation for Pretrained Models on Constrained Edge AI AcceleratorsMatteo Gottardelli, Gaosheng Liu, Kasim Sinan Yildirim (University of Trento) |
EdgeStressBench: A Framework for Reproducible Evaluation of Edge Systems Under Resource StressMaryam Pourreza, Priya Narasimhan (Carnegie Mellon University) |
Morphling: Emulator for Distributed Machine Learning at the EdgeLeyang Xue, Yufeng Xia, Eren Mendi, Ismaeel Bashir, Jiaxun Yang (University of Edinburgh), Myungjin Lee (Cisco Research), Mahesh Marina (University of Edinburgh) |
Lunch Break 🥗 🍖 🍺11:50 - 12:50 |
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Session #3: Sensing, Networking, and Stream Processing12:50 - 13:45 |
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locRoaming: Seamless Private 5G WiFi Convergence through Continuous Client PositioningYu-Tai Lin (Georgia Institute of Technology), Mohamed Ibrahim, Shivang Aggarwal (HPE Labs), Haofan Lu (UCLA), Puneet Sharma (Hewlett Packard Labs), Karthikeyan Sundaresan (Georgia Institute of Technology) |
GridAI: Edge AI Smart Grid Fault Detection with Goal-Oriented CommunicationM. Burak Aydar (METU, FRESHDATA Technology), Sajjad Baghaee (METU), Keyvan Firuzi (HV LAB, METU), Elif Uysal (METU, FRESHDATA Technology), Görkem Yıldırım (METU) |
Wagg: Cost-aware Aggregation of Windowing Operators in Stream ProcessingPritish Mishra (University of Toronto), Ruoyu Deng (McGill University), Alexandre da Silva Veith (Nokia Bell Labs), Oana Balmau (McGill University), Eyal de Lara (University of Toronto) |
Keynote #2: Niki Trigoni - University of Oxford13:45 - 14:25 |
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Session #4A: Multi-Tier Inference and Serving14:25 - 15:00 |
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Real-Time Fusion of Device, Cloudlet & Cloud AIQifei Dong, Jingao Xu, Padmanabhan Pillai, Roberta Klatzky, Mahadev Satyanarayanan (Carnegie Mellon University) |
INAR-VL: Input-Aware Routing for Edge–Cloud Vision–Language InferenceAhmed Šabanović, Paul Joe Maliakel, Ivona Brandić (TU Wien) |
Coffee Break ☕15:00 - 15:20 |
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Session #4B: Multi-Tier Inference and Serving15:20 - 15:35 |
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FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts ServingMinghe Wang, Trever Schirmer, Mohammadreza Malekabbasi, David Bermbach (TU Berlin) |
Session #5: Federated Learning15:35 - 16:30 |
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Data-Availability Co-Correlation: A Missing Dimension in Fair Federated LearningStefan Behfar, Richard Mortier (University of Cambridge) |
FedORA: Federated Objective-Resolved Adaptation for Non-Stationary EnvironmentsWai Fong Tam, Songyuan Li, Ahmed M. Abdelmoniem (Queen Mary University of London) |
Telemetry-Aware Federated Learning FrameworkAshley Degl'Innocenti (Scuola Superiore Sant'Anna), Ahmed Salah Tawfik Ibrahim (CNIT), Layal Ismail (Scuola Superiore Sant'Anna), Rana Abu Bakar (CNIT), Andrea Sgambelluri (Scuola Superiore Sant'Anna), Francesco Paolucci, Filippo Cugini (CNIT), Juan Jose Vegas Olmos (NVIDIA), Piero Castoldi (Scuola Superiore Sant'Anna) |
Panel / Closing DiscussionSecurity, Privacy and Accountability in Next-Generation Intelligent Networked Systems16:30 - 17:00 |
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Panelists: Mahadev Satyanarayanan (Carnegie Mellon University), Poonam Yadav (University of York), Atakan Aral (University of Vienna) |
Final Remarks and Best Paper Award17:00 - 17:10 |
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