Carla Fabiana Chiasserini
Visar 36 publikationer
CORMO-RAN: Energy Efficiency at the Near-RT RIC via Lossless Migration of O-RAN xApps
Efficient Tensor Compression and Reconstruction in Split DNNs for Edge-Based Object Detection
Combining Relevance and Magnitude for Resource-saving DNN Pruning
CLEAR: Scheduling of Multi-Model Mobile Workloads on Chiplet Edge Platforms
Efficient Management of Composite Heterogeneous Applications at the Network Edge
Intelligent UAV Surveillance Networks With Edge-Assisted Execution of Computer Vision Tasks
Enabling Wearables towards the Metaverse: Trade-Offs Involving Blockage and Heat
Achieving Machine Learning Dependability Through Model Switching and Compression
XAI4C: An XAI-powered Conflict Detection Framework in O-RAN
Fenics: A Modular Framework for Security Evaluation in Decentralized Federated Learning
Integrating Homomorphic Encryption and Synthetic Data in FL for Privacy and Learning Quality
Efficient Management of Composite Edge Applications
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
Enabling efficient collection and usage of network performance metrics at the edge
Joint Communication and Sensing in OTFS-Based UAV Networks
MOSE: A Novel Orchestration Framework for Stateful Microservice Migration at the Edge
Distributing Inference Tasks Over Interconnected Systems Through Dynamic DNNs
Dynamic Management of Constrained Computing Resources for Serverless Services
Resource-Efficient Sensor Fusion at the Edge via System-wide Dynamic Gated Neural Networks
Choose Before You Label: Efficient Node Selection in Constrained Federated Learning
Resource-aware Deployment of Dynamic DNNs over Multi-tiered Interconnected Systems
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
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
Data-Driven and Privacy-Preserving Cooperation in Decentralized Learning
Resource-Efficient Sensor Fusion via System-Wide Dynamic Gated Neural Networks
OREO: O-RAN intElligence Orchestration of xApp-based network services
OffloaDNN: Shaping DNNs for Scalable Offloading of Computer Vision Tasks at the Edge
Target Wake Time Scheduling for Time-Sensitive Networking in the Industrial IoT
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