Connection-Aware P2P Trading: Simultaneous Trading and Peer Selection

no code implementations • 19 Feb 2024 • Cheng Feng, Kedi Zheng, Lanqing Shan, Hani Alers, Lampros Stergioulas, Hongye Guo, Qixin Chen

Numerical studies are carried out to validate the effectiveness of the connection-aware algorithm and the performance of smart selection strategies in reducing the overall convergence time.

Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning

1 code implementation • 14 Oct 2020 • Stefan Zwaard, Henk-Jan Boele, Hani Alers, Christos Strydis, Casey Lew-Williams, Zaid Al-Ars

Results show that the aggregation of models for the HOG algorithm using MWMA not only preserves the accuracy of the model but also allows for distributed learning with an accuracy increase of 0. 9% compared with traditional learning.

BIG-bench Machine Learning object-detection +2