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Samikwa, Eric; Schärer, Jakob; Braun, Torsten; Di Maio, Antonio (16 October 2023). Machine Learning-based Energy Optimisation in Smart City Internet of Things. In: 24th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (MobiHoc AIoT Workshop 2023) (pp. 364-369). ACM 10.1145/3565287.3616527
Samikwa, Eric; Di Maio, Antonio; Braun, Torsten (2023). DISNET: Distributed Micro-Split Deep Learning in Heterogeneous Dynamic IoT. IEEE internet of things journal, 11(1), p. 1. IEEE 10.1109/JIOT.2023.3313514
Xenakis, Dimitrios; Samikwa, Eric; Ajayi, Jesutofunmi; Di Maio, Antonio; Braun, Torsten; Schlegel, Katja (6 July 2023). Towards Personality Detection and Prediction using Smartphone Sensor Data. In: 21st Mediterranean Communication and Computer Networking Conference (MedComNet 2023) (pp. 121-130). IEEE 10.1109/MedComNet58619.2023.10168869
Samikwa, Eric; Braun, Torsten (5 May 2023). Dynamic Federated Learning for Heterogeneous Learning Environments. In: Bern Data Science Day. Data Science Lab
Samikwa, Eric; Di Maio, Antonio; Braun, Torsten (2023). DFL: Dynamic Federated Split Learning in Heterogeneous IoT (Submitted). IEEE transactions on machine learning in communications and networking IEEE
Samikwa, Eric; Braun, Torsten (6 October 2022). Resource-Aware Distributed Machine Learning on Heterogeneous IoT Devices. In: 3rd KuVS Fachgespräch "Machine Learning & Networking". Hasso-Plattner-Institut
Samikwa, Eric; Di Maio, Antonio; Braun, Torsten (2022). ARES: Adaptive Resource-Aware Split Learning for Internet of Things. Computer Networks, 218, p. 109380. Elsevier 10.1016/j.comnet.2022.109380
Samikwa, Eric; Di Maio, Antonio; Braun, Torsten (10 February 2022). Adaptive Early Exit of Computation for Energy-Efficient and Low-Latency Machine Learning over IoT Networks. In: 19th Annual Consumer Communications & Networking Conference (CCNC 2022) (pp. 200-206). IEEE Xplore: IEEE 10.1109/CCNC49033.2022.9700550
Pacheco, Lucas; Samikwa, Eric; Braun, Torsten (23 April 2021). Distributed and Federated Learning Optimization with Federated Clustering of IID-users (Unpublished). In: Bern Data Science Day 2021. Bern, Switzerland. 23. April 2021.
