Federated Double Deep Q-Networks for Unbalanced Material Classification in Tactile Internet
G Liu, H Wang, C Wang, L Yang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Unbalanced material classification with visual–haptic data has become one of the primary
concerns of tactile internet, existent classifiers suffer from performance degradation, since …
concerns of tactile internet, existent classifiers suffer from performance degradation, since …
AI-empowered mobile edge computing: inducing balanced federated learning strategy over edge for balanced data and optimized computation cost
Abstract In Mobile Edge Computing, the framework of federated learning can enable
collaborative learning models across edge nodes, without necessitating the direct exchange …
collaborative learning models across edge nodes, without necessitating the direct exchange …