Per Sort
- EneA-FL: Energy-aware Orchestration for Serverless Federated Learning (Future Generation Computer Systems, 2024) — Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini
- Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (ACM Computing Surveys, 2024) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
- From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers (Autonomous Agents and Multi-Agent Systems, 2024) — Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini
- Anonymous Federated Learning via Named-Data Networking (Future Generation Computer Systems, 2024) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
- Symbolic Knowledge Injection meets Intelligent Agents: QoS metrics and experiments (Autonomous Agents and Multi-Agent Systems, 2023) — Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices (Applied Sciences, 2021) — Andrea Agiollo, Andrea Omicini
- DETONAR: Detection of Routing Attacks in RPL-based IoT (2021) — Andrea Agiollo, Mauro Conti, Pallavi Kaliyar, TsungNan Lin, Luca Pajola