21 citations · 39 across the 15 of their papers we have counts for
3 papers · 1 filter
Progressive Semantic Communication for Efficient Edge-Cloud Vision-Language Models
Cyril Shih-Huan Hsu, Wig Yuan-Cheng Cheng, Chrysa Papagianni
Deploying Vision-Language Models (VLMs) on edge devices remains challenging due to their substantial computational and memory demands, which exceed the capabilities of resource-con…
Reinforcement Learning-based Adaptive Path Selection for Programmable Networks
José Eduardo Zerna Torres, Marios Avgeris, Chrysa Papagianni +3
This work presents a proof-of-concept implementation of a distributed, in-network reinforcement learning (IN-RL) framework for adaptive path selection in programmable networks. By…
V2N Service Scaling with Deep Reinforcement Learning
Cyril Shih-Huan Hsu, Jorge Martín-Pérez, Chrysa Papagianni +1
The fifth generation (5G) of wireless networks is set out to meet the stringent requirements of vehicular use cases. Edge computing resources can aid in this direction by moving pr…