Search Results for author:
Found 3 papers, 0 papers with code
Resource-Efficient Federated Hyperdimensional Computing
In conventional federated hyperdimensional computing (HDC), training larger models usually results in higher predictive performance but also requires more computational, communication, and energy resources.
Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks
The proposed method utilizes efficient computations and model exchange in a network of heterogeneous nodes and allows personalization of the learning model in the presence of non-i. i. d.
Dynamic Network-Assisted D2D-Aided Coded Distributed Learning
Today, various machine learning (ML) applications offer continuous data processing and real-time data analytics at the edge of a wireless network.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
