Scheduled Communications in Next Generationmobile Networks. - Tarik Taleb; Miloud Bagaa; Si-Ahmed Naas (GLOBECOM, 2018)

Functional gaze prediction in egocentric video. - Si-Ahmed Naas; Xiaolan Jiang; Stephan Sigg; Yusheng Ji (MoMM, 2020)

A Global Brain fuelled by Local intelligence: Optimizing Mobile Services and Networks with AI. - Si-Ahmed Naas; Thaha Mohammed 001; Stephan Sigg (MSN, 2020)

Real-time Emotion Recognition for Sales. - Si-Ahmed Naas; Stephan Sigg (MSN, 2020)

SVP: Sinusoidal Viewport Prediction for 360-Degree Video Streaming. - Xiaolan Jiang; Si-Ahmed Naas; Yi-Han Chiang; Stephan Sigg; Yusheng Ji (IEEE Access, 2020)

Sharing geotagged pictures for an Emotion-based Recommender System. - Andreas Hitz; Si-Ahmed Naas; Stephan Sigg (PerCom Workshops, 2021)

Privacy-preserving federated learning based on multi-key homomorphic encryption. - Jing Ma; Si-Ahmed Naas; Stephan Sigg; Xixiang Lyu (Int. J. Intell. Syst., 2022)

Fast converging Federated Learning with Non-IID Data. - Si-Ahmed Naas; Stephan Sigg (VTC2023-Spring, 2023)

Knowledge Sharing in AI Services: A Market-Based Approach. - Thaha Mohammed 001; Si-Ahmed Naas; Stephan Sigg; Mario Di Francesco (IEEE Internet Things J., 2023)