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Employment (1)

University of Bern: Bern, CH

(Institute of Computer Science)
Employment
Source: Self-asserted source
Eric Samikwa

Works (12)

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

IEEE Transactions on Mobile Computing
2024 | Journal article
Contributors: Zimu Xu; Antonio Di Maio; Eric Samikwa; Torsten Braun
Source: check_circle
Crossref

DFL: Dynamic Federated Split Learning in Heterogeneous IoT

IEEE Transactions on Machine Learning in Communications and Networking
2024 | Journal article
Contributors: Eric Samikwa; Antonio Di Maio; Torsten Braun
Source: check_circle
Crossref

Machine learning with computer networks: techniques, datasets, and models

TUHH Universitätsbibliothek
2024-04-03 | Journal article
Contributors: Haitham Afifi; Sabrina Pochaba; Andreas Boltres; Dominic Laniewski; Janek Haberer; Leonard Paeleke; Reza Poorzare; Daniel Stolpmann; Nikolas Wehner; Adrian Redder et al.
Source: check_circle
DataCite

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

IEEE Internet of Things Journal
2024-02-15 | Journal article
Contributors: Eric Samikwa; Antonio Di Maio; Torsten Braun
Source: check_circle
Crossref

Dynamic Federated Learning for Heterogeneous Learning Environments

Data Science Lab
2023 | Conference poster
Contributors: Eric Samikwa; Torsten Braun
Source: Self-asserted source
Eric Samikwa

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

2023-10-23 | Conference paper
Contributors: Eric Samikwa; Jakob Schärer; Torsten Braun; Antonio Di Maio
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Crossref
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Preferred source (of 2)‎

Towards Personality Detection and Prediction using Smartphone Sensor Data

2023 21st Mediterranean Communication and Computer Networking Conference (MedComNet)
2023-06-13 | Conference paper
Contributors: Dimitris Xenakis; Eric Samikwa; Jesutofunmi Ajayi; Antonio Di Maio; Torsten Braun; Katja Schlegel
Source: Self-asserted source
Eric Samikwa

Resource-Aware Distributed Machine Learning on Heterogeneous IoT Devices

Hasso-Plattner-Institut
2022 | Conference paper
Contributors: Eric Samikwa; Torsten Braun
Source: Self-asserted source
Eric Samikwa

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

Computer Networks
2022-12 | Journal article
Part of ISSN: 1389-1286
Contributors: Eric Samikwa; Antonio Di Maio; Torsten Braun
Source: Self-asserted source
Eric Samikwa

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

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
2022-01-08 | Conference paper
Contributors: Eric Samikwa; Antonio Di Maio; Torsten Braun
Source: Self-asserted source
Eric Samikwa

Flood prediction system using IoT and artificial neural networks with edge computing

2020 | Other
Contributors: Samikwa, Eric
Source: Self-asserted source
Eric Samikwa

Flood Prediction Using IoT and Artificial Neural Networks with Edge Computing

2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)
2020-11 | Conference paper
Contributors: Eric Samikwa; Thiemo Voigt; Joakim Eriksson
Source: Self-asserted source
Eric Samikwa

Peer review (2 reviews for 2 publications/grants)

Review activity for Computer networks. (1)
Review activity for Neural networks. (1)