| Resource provision for mobile entities M Opsenica, P Salmela, R Morabito, E Ramos, T Kauppinen, K Miika US Patent 12,003,511, 2024 | 1 | 2024 |
| Follow-Me AI: Energy-Efficient User Interaction with Smart Environments A Saleh, PK Donta, R Morabito, NH Motlagh, L Lovén arXiv preprint arXiv:2404.12486, 2024 | | 2024 |
| Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices A Prasad Behera, R Morabito, J Widmer, JP Champati arXiv e-prints, arXiv: 2406.09424, 2024 | | 2024 |
| Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities A Saleh, R Morabito, S Tarkoma, S Pirttikangas, L Lovén arXiv preprint arXiv:2312.14647, 2024 | 3* | 2024 |
| Exploring Edge AI Inference in Heterogeneous Environments: Requirements, Challenges, and Solutions R Morabito, M Chiang IoT Edge Intelligence, 2024 | | 2024 |
| Towards Large-Scale IoT Deployments in Smart Cities: Requirements and Challenges NH Motlagh, MA Zaidan, R Morabito, P Nurmi, S Tarkoma Learning Techniques for the Internet of Things, 105-129, 2023 | | 2023 |
| AI-native interconnect framework for integration of large language model technologies in 6G systems S Tarkoma, R Morabito, J Sauvola arXiv preprint arXiv:2311.05842, 2023 | 10 | 2023 |
| Device sampling and resource optimization for federated learning in cooperative edge networks S Wang, R Morabito, S Hosseinalipour, M Chiang, CG Brinton arXiv preprint arXiv:2311.04350, 2023 | 3 | 2023 |
| Edge AI Inference in Heterogeneous Constrained Computing: Feasibility and Opportunities R Morabito, M Tatipamula, S Tarkoma, M Chiang 2023 IEEE International Workshop on Computer Aided Modeling and Design of …, 2023 | | 2023 |
| Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices AP Behera, R Morabito, J Widmer, JP Champati Proceedings of the 29th Annual International Conference on Mobile Computing …, 2023 | 3 | 2023 |
| Distributed computation orchestration for internet-of-things devices using CoAP and LWM2M protocols J Jiménez, D Hiroshi, R Morabito US Patent 11,765,053, 2023 | | 2023 |
| How Can AI be Distributed in the Computing Continuum? Introducing the Neural Pub/Sub Paradigm L Lovén, R Morabito, A Kumar, S Pirttikangas, J Riekki, S Tarkoma arXiv preprint arXiv:2309.02058, 2023 | 3 | 2023 |
| Digital twins for smart spaces—beyond IoT analytics NH Motlagh, MA Zaidan, L Lovén, PL Fung, T Hänninen, R Morabito, ... IEEE internet of things journal 11 (1), 573-583, 2023 | 8 | 2023 |
| On-the-fly Resource-Aware Model Aggregation for Federated Learning in Heterogeneous Edge HT Nguyen, R Morabito, KT Kim, M Chiang GLOBECOM 2021 - IEEE Global Communications Conference, 2021, 2021 | 5 | 2021 |
| Intelligence Orchestration for Future IoT Platforms E Ramos, S Selvi, R Morabito, A Hernandez, V Tudor, J Höller https://iot.ieee.org/newsletter/november-2021/intelligence-orchestration-for …, 2021 | | 2021 |
| Discover, provision, and orchestration of machine learning inference services in heterogeneous edge R Morabito, M Chiang 2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021 | 5 | 2021 |
| Device sampling for heterogeneous federated learning: Theory, algorithms, and implementation S Wang, M Lee, S Hosseinalipour, R Morabito, M Chiang, CG Brinton IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 105 | 2021 |
| A TinyMLaaS Ecosystem for Machine Learning in IoT: Overview and Research Challenges H Doyu, R Morabito, M Brachmann 2021 International Symposium on VLSI Design, Automation and Test (VLSI-DAT), 1-5, 2021 | 32 | 2021 |
| Management of communication between M2M device and M2M server with finite state transitions created by the M2M device ON Diaz, N Beijar, J Jiménez, T Kauppinen, J Kjällman, K Miika, P Jokela, ... US Patent 10,869,172, 2020 | | 2020 |
| IETF protocol suite for the Internet of Things: Overview and Recent Advancements R Morabito, J Jiménez IEEE Communications Standards Magazine, 2020 | 20 | 2020 |
Nathalie MittonInria在 inria.fr 的电子邮件经过验证
