Privacy‐preserving federated learning based on multi‐key homomorphic encryption J Ma, SA Naas, S Sigg, X Lyu International Journal of Intelligent Systems 37 (9), 5880-5901, 2022 | 173 | 2022 |
SVP: Sinusoidal viewport prediction for 360-degree video streaming X Jiang, SA Naas, YH Chiang, S Sigg, Y Ji IEEE Access 8, 164471-164481, 2020 | 10 | 2020 |
Real-time emotion recognition for sales SA Naas, S Sigg 2020 16th International Conference on Mobility, Sensing and Networking (MSN …, 2020 | 9 | 2020 |
Functional gaze prediction in egocentric video SA Naas, X Jiang, S Sigg, Y Ji Proceedings of the 18th International Conference on Advances in Mobile …, 2020 | 5 | 2020 |
A global brain fuelled by local intelligence: Optimizing mobile services and networks with AI SA Naas, T Mohammed, S Sigg 2020 16th International Conference on Mobility, Sensing and Networking (MSN …, 2020 | 3 | 2020 |
Knowledge sharing in ai services: A market-based approach T Mohammed, SA Naas, S Sigg, M Di Francesco IEEE Internet of Things Journal 10 (2), 1320-1331, 2022 | 1 | 2022 |
Sharing geotagged pictures for an Emotion-based Recommender System A Hitz, SA Naas, S Sigg 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 1 | 2021 |
Scheduled Communications in Next Generationmobile Networks T Taleb, M Bagaa, SA Naas 2018 IEEE Global Communications Conference (GLOBECOM), 1-6, 2018 | 1 | 2018 |
Fast converging Federated Learning with Non-IID Data SA Naas, S Sigg 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 1-6, 2023 | | 2023 |
An AI-based Framework to Optimize Mobile Services SA Naas Aalto University, 2023 | | 2023 |