Eric Samikwa

According to our database, Eric Samikwa authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CSTAR-FL: Stochastic Client Selection for Tree All-Reduce Federated Learning.

Zimu Xu, Antonio Di Maio, Eric Samikwa, Torsten Braun

IEEE Trans. Mob. Comput., April, 2025

Deep learning methods for poultry disease prediction using images.

George Hope Chidziwisano, Eric Samikwa, Chisomo Daka

Comput. Electron. Agric., 2025

DRFSL: Deep Reinforced Federated Split Learning for Multi-Modal Beamforming in IoV.

Jinxuan Chen, Eric Samikwa, Torsten Braun, Kaushik R. Chowdhury

Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

FedAttention: Federated Attention-Based Fusion Learning for Multi-Modal Beamforming in IoV.

Jinxuan Chen, Eric Samikwa, Torsten Braun, Kaushik R. Chowdhury

Proceedings of the IEEE International Conference on Communications, 2025

2024

DISNET: Distributed Micro-Split Deep Learning in Heterogeneous Dynamic IoT.

Eric Samikwa, Antonio Di Maio, Torsten Braun

IEEE Internet Things J., February, 2024

Machine Learning With Computer Networks: Techniques, Datasets, and Models.

Haitham Afifi, Sabrina Pochaba, Andreas Boltres, Dominic Laniewski, Janek Haberer, Leonard Paeleke, Reza Poorzare, Daniel Stolpmann, Nikolas Wehner, Adrian Redder, Eric Samikwa, Michael Seufert

IEEE Access, 2024

2023

Machine Learning-based Energy Optimisation in Smart City Internet of Things.

Eric Samikwa, Jakob Schärer, Torsten Braun, Antonio Di Maio

Dataset, August, 2023

Machine Learning-based Energy Optimisation in Smart City Internet of Things.

Eric Samikwa, Jakob Schärer, Torsten Braun, Antonio Di Maio

Proceedings of the Twenty-fourth International Symposium on Theory, 2023

Towards Personality Detection and Prediction using Smartphone Sensor Data.

Dimitris Xenakis, Eric Samikwa, Jesutofunmi Ajayi, Antonio Di Maio, Torsten Braun, Katja Schlegel

Proceedings of the 21st Mediterranean Communication and Computer Networking Conference, 2023

2022

ARES: Adaptive Resource-Aware Split Learning for Internet of Things.

Eric Samikwa, Antonio Di Maio, Torsten Braun

Comput. Networks, 2022

Adaptive Early Exit of Computation for Energy-Efficient and Low-Latency Machine Learning over IoT Networks.

Eric Samikwa, Antonio Di Maio, Torsten Braun

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

2020

Flood Prediction Using IoT and Artificial Neural Networks with Edge Computing.

Eric Samikwa, Thiemo Voigt, Joakim Eriksson

Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020