A Blockchain-Based Reliable Federated Meta-Learning for Metaverse: A Dual Game Framework

E Baccour, A Erbad, A Mohamed… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
The metaverse, envisioned as the next digital frontier for avatar-based virtual interaction,
involves high-performance models. In this dynamic environment, users' tasks frequently shift …

Bridging the Chasm Between Ideal and Realistic Federated Learning: A Measurements Study

HK Gedawy, KA Harras, T Tanveer… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Federated Learning is being hailed as a privacy-preserving machine learning alternative, by
allowing models to be distributively trained on source devices owning their data. Most FL …

[PDF][PDF] Efficient User Incentives in Extreme Edge Sensing: A New Learning-Based Scheme

O Naserallah - 2024 - queenstrl.ca
Abstract Extreme Edge Sensing (EES) systems utilize the built-in sensors of users' smart
devices to collect data from the surrounding environment and employ their processors to …

data allocation and benchmarking in parallelized mobile edge learning

DJ Mays - 2023 - search.proquest.com
Abstract Democratizing Edge Computing (EC) by tap** into the copious yet underutilized
computational resources of IoT devices can facilitate the use of Mobile Edge Learning …