| Ares: Adaptive resource-aware split learning for internet of things E Samikwa, A Di Maio, T Braun Computer Networks 218, 109380, 2022 | 31 | 2022 |
| Flood prediction using IoT and artificial neural networks with edge computing E Samikwa, T Voigt, J Eriksson 2020 International Conferences on Internet of Things (iThings) and IEEE …, 2020 | 27 | 2020 |
| Adaptive early exit of computation for energy-efficient and low-latency machine learning over iot networks E Samikwa, A Di Maio, T Braun 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC …, 2022 | 16 | 2022 |
| Flood prediction system using IoT and artificial neural networks with edge computing E Samikwa | 4 | 2020 |
| Disnet: Distributed micro-split deep learning in heterogeneous dynamic iot E Samikwa, A Di Maio, T Braun IEEE internet of things journal, 2023 | 3 | 2023 |
| Machine Learning with Computer Networks: Techniques, Datasets and Models H Afifi, S Pochaba, A Boltres, D Laniewski, J Haberer, P Leonard, ... IEEE Access, 2024 | | 2024 |
| Machine Learning-based Energy Optimisation in Smart City Internet of Things E Samikwa, J Schärer, T Braun, A Di Maio Proceedings of the Twenty-fourth International Symposium on Theory …, 2023 | | 2023 |
| Towards Personality Detection and Prediction using Smartphone Sensor Data D Xenakis, E Samikwa, J Ajayi, A Di Maio, T Braun, K Schlegel 2023 21st Mediterranean Communication and Computer Networking Conference …, 2023 | | 2023 |
| Dynamic Federated Learning for Heterogeneous Learning Environments E Samikwa, T Braun Data Science Lab, 2023 | | 2023 |
| DFL: Dynamic Federated Split Learning in Heterogeneous IoT E Samikwa, A Di Maio, T Braun IEEE transactions on machine learning in communications and networking, 2023 | | 2023 |
| Resource-Aware Distributed Machine Learning on Heterogeneous IoT Devices E Samikwa, T Braun Hasso-Plattner-Institut, 2022 | | 2022 |
| Distributed and Federated Learning Optimization with Federated Clustering of IID-users L de Sousa Pacheco, E Samikwa, T Braun | | 2021 |
| Distributed and Federated Learning Optimization with Federated Clustering of IID-users L Pacheco, E Samikwa, T Braun | | |
Torsten BraunProfessor of Computer ScienceEmail verificata su unibe.ch
