Monday, December 1
08:30 - 09:00
Registration
09:00 - 12:30
Room 109
Tutorial
Federated Learning in Orbital Edge Computing
08:45 - 10:30
Workshops
Room 108
| 08:45–08:50 |
Opening
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| 08:50–09:15 |
LLM4FaaS: No-Code Application Development using LLMs and FaaS
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| 09:15–09:40 |
Task Scheduling in Edge Computing Environments: a Hierarchical Cluster-based Federated Deep Reinforcement Learning Approach
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| 09:40–10:05 |
DRAF: A Drift-Resilient Averaging in Federated Learning across the Cloud Edge Continuum
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| 10:05–10:30 |
Federated Learning with Iterative Synthetic Data Augmentation
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10:30 - 11:00
Morning Break
11:00 - 12:30
Room 109
Tutorial
From Research to EdgePractical Federated AI Orchestration for Data Sovereignty and Real-Time Intelligence
11:00 - 12:30
Workshops
Main Hall
| 11:00–11:30 |
Power Aware Cluster Orchestration: Taxonomy, Initial Results, and Challenges
|
| 11:30–12:00 |
Towards a Novel Vertical Scaling Approach for Bursty Workloads in Kubernetes
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| 12:00–12:30 |
KOTO: A Kubernetes-Based Platform for Secure and Scalable OT Orchestration in Industry 5.0
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12:30 - 14:00
Lunch Break
14:00 - 18:00
Room 109
Tutorial
Serverless Orchestration on the Edge–Cloud ContinuumFrom Small Functions to Large Language Models
14:00 - 16:00
Workshops
Main Hall
| 14:00–14:25 |
Reactive and Proactive Migration for Edge AI Training on Energy-Harvesting, Intermittently Powered Devices
|
| 14:25–14:50 |
FedGuard: Leader-Aware Fault-Tolerant Federated Learning in the Cloud–Edge Continuum
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| 14:50–15:15 |
Simplifying Federated Learning Deployment: Design and Implementation of the FLeeT Framework
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| 15:15–15:40 |
A Deep Learning Approach to Detecting Multiple Types of Sybil Nodes in VANETs
|
| 15:40–16:00 |
A Hybrid Graph Convolutional Networks Framework for Context-Aware Multimodal Human Activity Recognition
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Room 206
| 14:00–14:25 |
Single-Round Zero-Knowledge Proof for the Square-Root Problem in Cloud Systems
|
| 14:25–14:50 |
Privacy-Preserving Machine Learning for Encrypted Traffic Classification in Secure Cloud Services
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| 14:50–15:15 |
Cloud-Based Phishing Awareness Analyzer for Automated User Training and Assessment
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| 15:15–15:40 |
Evaluation of RPL Preinstalled Secure Mode Under Attacks
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| 15:40–16:05 |
Repudiation For Good: Privacy-Preserving Prompt Deniability Through Embedding-Based Approximation
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Room 108
| 14:00–14:05 |
Opening
|
| 14:05–14:25 |
Agentic Edge Intelligence: A Research Agenda
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| 14:25–14:55 |
Predictive Resource Management in the Computing Continuum: Transfer Learning from Virtual Machines to Containers using Transformers
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| 14:55–15:25 |
Agentic Federated LLMs at the Edge for Promptable Guardrail Inspection with YOLO-E
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| 15:25–15:55 |
Application level observability for adaptive Edge to Cloud continuum systems
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| 15:55–16:00 |
Closing
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Room 207
| 14:00–14:40 |
Keynote Talk
|
| 14:40–15:05 |
Formal Design‑Time Privacy & Consent Assurance for LLM‑Based Applications for Children
|
| 15:05–15:30 |
A Hybrid Monitoring Framework for Anomaly Detection in Smart Home IoT Devices
|
| 15:30–16:00 |
Skewness-Guided Pruning of Multimodal Swin Transformers for Federated Skin Lesion Classification on Edge Devices
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16:00 - 16:30
Break
16:30 - 18:00
Workshops
Main Hall
| 16:30–17:00 |
Participation is Power: Effective Approach to Dynamic Federated Learning
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| 17:00–17:30 |
Investigating the Impact of Isolation on Synchronized Benchmarks
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Room 206
| 16:30–16:55 |
Zero Trust Architecture for Ransomware Defense in Virtualized Environment
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| 16:55–17:20 |
A Multi-Layer Phishing Defense Framework for Trusted Cloud Environments
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| 17:20–17:45 |
Towards Efficient and Privacy-Preserving Cloud Computing
|
Room 207
| 16:30–17:00 |
Does Energy-efficiency Mean Carbon-awareness? A Critical Evaluation of Sustainable Serverless Edge Scheduling
|
| 17:00–17:30 |
Honeypot Embedded in Low-Cost IoT Hardware for Collecting and Analyzing Real-World Cyber Threats
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| 17:30–18:00 |
HybridVFL: Disentangled Feature Learning for Edge-Enabled Vertical Federated Multimodal Classification
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18:30 - 20:30
Cocktail Reception
(Open to all participants)
Tuesday, December 2
08:30 - 09:00
Registration
09:00 - 09:30
Opening Ceremony (Main Hall)
09:30 - 10:30
Main Hall
Keynote — Data Confidentiality in the World of Agentic AI Systems
Hubertus Franke (IBM T.J. Watson Research Center, USA)
10:30 - 11:00
Morning Break
11:00 - 12:30
Workshops
Room 206
| 11:00–11:30 |
FL-as-API: A Service-Oriented Architecture for Heterogeneous Federated Learning
|
| 11:30–12:00 |
Countering Device Fingerprinting with Cloud Autoscaling
|
| 12:00–12:30 |
Serverless Computing: An Empirical Evaluation of Application Performance and Power Consumption in Knative
|
11:00 - 12:30
Main Hall
Energy and Sustainability for AI (parallel session)
Session Chair: Omer Rana
-
GreenWise: Intelligent Application Migration for Containerized Machine Learning Services in the Computing Continuum
Peini Liu, José Santos, Filip De Turck, Jordi Guitart -
Targeted and Fully Automated Updates Over LoRaWAN for Energy-Efficient Edge AI
Clément Courageux-Sudan, Paul Townend, Atakan Aral -
FedSynthesis: A Flower-based Framework for Carbon-Reduced Federated Learning
Gökcan Cantali, Gürkan Gür, Burkhard Stiller
Room 108
Dynamic Scaling (parallel session)
Session Chair: Hélène coullon
-
A Hybrid Forecasting and Reinforcement Learning Approach for Latency-Constrained Scaling of Generative AI Systems
Yue Peng, Richard Sinnott -
An Autonomic Computing Approach for Scaling Cloud-Based Smart City Platforms
André Solino, Thais Batista, Everton Cavalcante
12:30 - 14:00
Lunch Break
14:00 - 16:00
Main Hall
Security and Trust
Session Chair: Richard Sinnott
-
Secure Monitoring of Confidential VMs with Isolated Agents
Tomoharu Nono, Kenichi Kourai -
DTW-ABAC: A Dynamic Trust Weighted Attribute-Based Access Control Hybrid Security Model for Cloud Applications
Saurabh Siddhanath Kulkarni, Waqar Haque, Andreas Hirt -
Secure-by-Design Hardware Architecture for Real-Time IoT with Cycle-Bounded Trust and Redundancy-Aware Sensor Fusion
Maitham Al-Rubaye, Atakan Aral -
Exploring and Optimizing Moving Target Defense Strategies Using Reinforcement Learning
Kods Trabelsi, Paul-Tiberiu Iordache, Nadir Tahir, Mihail Asavoae
16:00 - 16:30
Break
16:30 - 18:00
Main Hall
AI on Edge, Fog and Continuum (parallel session)
Session Chair: Mehmet Cihan Sakman
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InferEdge: Characterizing Edge Inference Performance
Gabriel Orion Kai Antar, Blesson Varghese -
Splitwise: Collaborative Edge–Cloud Inference for LLMs via Lyapunov-Assisted DRL
Abolfazl Younesi, Abbas Shabrang Maryan, Elyas Oustad, Zahra Najafabadi Samani, Mohsen Ansari, Thomas Fahringer -
Adaptive DNN Partitioning for Edge-Cloud Systems with Meta-Reinforcement Learning
Yuankun Zhang, Zhaoxuan Zhang, Hengye Zhao
Room 108
Supervision, Prediction, Fault Detection (parallel session)
Session Chair: Douglas D. J. de Macedo
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When Timeouts Fail: Revisiting Fault Detection under Resource Stress in Edge Computing
Maryam Pourreza, Priya Narasimhan -
Time Series Models Revisited for Replica Transfer Optimization in Cloud Storage Systems
Esma Yildirim, Mohab Hussein -
Modeling Anomaly Detection in Cloud Services: Analysis of the Properties that Impact Latency and Resource Consumption
Gabriel Job Antunes Grabher, Fumio Machida, Thomas Ropars
Wednesday, December 3
09:00 - 09:30
Registration
09:30 - 10:30
Main Hall
Keynote — Rubies in the Dust
Julie McCaan (Imperical College London, UK)
10:30 - 11:00
Morning Break
11:00 - 12:30
Main Hall
Dynamic Resource Management (parallel session)
Session Chair: Luiz Bittencourt
-
A Self-Adaptive Framework for Predictive CPU Resource Allocation During Container Startup in Kubernetes
Anosan Jayahanthan, Isuru Gunarathne, Charindu Thisara, Sunimal Rathnayake, Malith Jayasinghe -
Mitigating Shared Storage Congestion Using Control Theory
Thomas Collignon, Kouds Halitim, Raphaël Bleuse, Sophie Cerf, Bogdan Robu, Éric Rutten, Lionel Seinturier, Alexandre Van Kempen -
Knowledge Graphs-Driven Intelligence for Distributed Decision Systems
Rosario Napoli, Gabriele Morabito, Antonio Celesti, Massimo Villari, Maria Fazio
Room 108
Performance (parallel session)
Session Chair: Karim Djemame
-
Sky Computing for Serverless: Infrastructure Assessment to Support Performance Enhancement
Robert Cordingly, Xinghan Chen, Ling-Hong Hung, Wes Lloyd -
Performance Evaluation of Multi-CNIs in Fog Computing Across Ethernet and Wireless Networks
Gilvani Alves, Hana Karina Salles Rubinsztejn, Marco Aurélio Stefanes -
HPAQT: Adaptive and Interpretable High-level SLO-aware Autoscaling with Reinforcement Learning
Robin Mayerhofer, Andrea Morichetta, Alireza Furutanpey, Schahram Dustdar
12:30 - 14:00
Lunch Break
14:00 - 15:00
Main Hall
Keynote — Societal Computing and Innovation in the AI Era
Ilkay Altintas (University of California San Diego, USA)
15:00 - 16:30
Main Hall
Best Paper Session
-
Protocol-to-Model Translation Framework: Enabling Mathematically Tractable TCP Models for Autonomic Controller Design
Ahmed Ben Ali, Yann Labit, Benoit Nougnanke, Jean-François Baffier -
Graphpilot: A Temporal Graph Actor-Critic Autoscaler Reducing Degradation of Resource Oscillation in Microservice
Po-Han Ho, Hong-Yen Chen, Tsung-Nan Lin -
FakeInf: Selective Deep Neural Network Inference for Latency and Energy-Aware Model Serving Pipelines
Demetris Trihinas, Moysis Symeonides, Nicolae Cleju, George Pallis, Marios Dikaiakos
16:30 - 17:00
Break
17:00 - 18:00
Poster Session
19:30 - 21:30
Conference Dinner
(Open to all participants)
Restaurant "Le 1" , 1 rue Olympe de Gouges – 44200 Nantes
— See the location (5 minutes from Conference location)
Thursday, December 4
09:00 - 09:30
Registration
09:30 - 10:30
Main Hall
Keynote — Carbon Footprint Allocation Models in Distributed Systems
Anne-Cécile Orgerie (IRISA Rennes, CNRS, France)
10:30 - 11:00
Morning Break
11:00 - 12:30
Main Hall
Energy and Sustainability in the Cloud/Edge
-
Local Computing vs. Cloud Computing: An Empirical Study of Energy Consumption
Lylian Siffre, Thomas Ledoux, Renaud Pawlak, John Guery -
Life-cycle carbon assessment of intermittent Fog services fully powered by renewable energy sources
Matteo Chancerel, Anne-Cécile Orgerie -
Energy-Aware Latency Optimization for Scheduling Serverless Workload in Edge Computing Environment
Shrijan Subedi, Satish Kumar, Nawar Jawad, Ah Lian Kor
11:00 - 12:40
Workshops
Room 206
| 11:00–11:25 |
Verifiability and Privacy in Federated Learning through Context-Hiding Multi-Key Homomorphic Authenticators
|
| 11:25–11:50 |
Towards a Framework for Personal and Domestic Cybersecurity
|
| 11:50–12:15 |
Optimizing Code Embeddings and ML Classifiers for Python Source code Vulnerability Detection
|
| 12:15–12:40 |
Design and Development of a Predictive Security Threat Management System Leveraging CWEs, CVEs, and CAPEcs
|
12:30 - 12:45
Closing Remarks
12:45 - 14:00
Lunch Break
14:00 - 14:50
Workshops
Room 206
| 14:00–14:25 |
Toward Agentic IAM: A Probabilistic Authorization Framework for Least Privilege AI Workflows
|
| 14:25–14:50 |
Early detection of backdoor attacks in federated learning via ecosystemic symmetry breaking
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