Si-Ahmed Naas
ML Engineer
IT Specialist
U909 IT Services
Full researcher profile
https://research.aalto.fi/...
E-post
[email protected]
Telefonnummer
+358417234333
Publikationer
Knowledge Sharing in AI Services: A Market-based Approach
Thaha Mohammed, Si-Ahmed Naas, Stephan Sigg, Mario Di Francesco
2023
IEEE Internet of Things Journal
An AI-based Framework to Optimize Mobile Services
Si-Ahmed Naas
2023
Fast converging Federated Learning with Non-IID Data
Si Ahmed Naas, Stephan Sigg
2023
2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
Privacy-preserving federated learning based on multi-key homomorphic encryption
Jing Ma, Si-Ahmed Naas, Stephan Sigg, Xixiang Lyu
2022
International Journal of Intelligent Systems
Sharing geotagged pictures for an Emotion-based Recommender System
Andreas Hitz, Si Ahmed Naas, Stephan Sigg
2021
2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021
A global brain fuelled by local intelligence
Si Ahmed Naas, Thaha Mohammed, Stephan Sigg
2021
Proceedings of 16th International Conference on Mobility, Sensing and Networking (MSN 2020)
Real-time emotion recognition for sales
Si Ahmed Naas, Stephan Sigg
2021
Proceedings of 16th International Conference on Mobility, Sensing and Networking (MSN 2020)
SVP: Sinusoidal Viewport Prediction for 360-Degree Video Streaming
Xiaolan Jiang, Si Ahmed Naas, Yi-Han Chiang, Stephan Sigg, Yusheng Ji
2020
IEEE Access
Functional Gaze Prediction in Egocentric Video
Si-Ahmed Naas, Xiaolan Jiang, Stephan Sigg, Yusheng Ji
2020
18th International Conference on Advances in Mobile Computing and Multimedia, MoMM2020 - Proceedings
Scheduled Communications in Next Generation Mobile Networks
Tarik Taleb, Miloud Bagaa, Si-Ahmed Naas
2018
2018 IEEE Global Communications Conference, GLOBECOM 2018