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Found 6 papers, 1 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.
AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for Sustainable Maritime Networking
The maritime industry is experiencing a technological revolution that affects shipbuilding, operation of both seagoing and inland vessels, cargo management, and working practices in harbors.
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.
Swish-Driven GoogleNet for Intelligent Analog Beam Selection in Terahertz Beamspace MIMO
First inspired by transfer learning, we fine-tune the pre-trained off-the-shelf GoogleNet classifier, to learn analog beam selection as a multi-class mapping problem.
Understanding UAV-Based WPCN-Aided Capabilities for Offshore Monitoring Applications
Despite the immense progress in the recent years, efficient solutions for monitoring remote areas are still missing today.
