Carla Fabiana Chiasserini
Visar 27 publikationer
Fenics: A Modular Framework for Security Evaluation in Decentralized Federated Learning
Integrating Homomorphic Encryption and Synthetic Data in FL for Privacy and Learning Quality
Human-centric decision-making in cell-less 6G networks
O-RAN Intelligence Orchestration Framework for Quality-Driven Xapp Deployment and Sharing
XR Offloading Across Multiple Time Scales: The Roles of Power, Temperature, and Energy
Combining Relevance and Magnitude for Resource-saving DNN Pruning
Enabling efficient collection and usage of network performance metrics at the edge
XAI4C: An XAI-powered Conflict Detection Framework in O-RAN
Enabling Wearables towards the Metaverse: Trade-Offs Involving Blockage and Heat
Distributing Inference Tasks Over Interconnected Systems Through Dynamic DNNs
Dynamic Management of Constrained Computing Resources for Serverless Services
MOSE: A Novel Orchestration Framework for Stateful Microservice Migration at the Edge
Resource-Efficient Sensor Fusion at the Edge via System-wide Dynamic Gated Neural Networks
Achieving Machine Learning Dependability Through Model Switching and Compression
Distributed Learning with Memory: Optimizing Model Usage across Training Tasks
Tensor Compression and Reconstruction in Split DNN for Real-time Object Detection at the Edge
Adaptive Autopilot: Constrained Drl for Diverse Driving Behaviors
Resource-aware Deployment of Dynamic DNNs over Multi-tiered Interconnected Systems
Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks
OREO: O-RAN intElligence Orchestration of xApp-based network services
Morphable Networks for Cross-Layer and Cross-Domain Programmability: A Novel Network Paradigm
AI/ML-based services and applications for 6G-connected and autonomous vehicles
Dependable Distributed Training of Compressed Machine Learning Models
Target Wake Time Scheduling for Time-Sensitive Networking in the Industrial IoT
Data-Driven and Privacy-Preserving Cooperation in Decentralized Learning
OffloaDNN: Shaping DNNs for Scalable Offloading of Computer Vision Tasks at the Edge
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