Lyudong Jin

activity

20232025

most citedMoE

^{2}

: Optimizing Collaborative Inference for Edge Large Language Models

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.NI2025★ 1 cited

MoE $^{2}$ : Optimizing Collaborative Inference for Edge Large Language Models

Lyudong Jin, Yanning Zhang, Yanhan Li +4

Large language models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing tasks. Exploiting the heterogeneous capabilities of edge L…

cs.LG2024

Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing

Lyudong Jin, Ming Tang, Jiayu Pan +2

In the realm of emerging real-time networked applications such as cyber-physical systems (CPS), the Age of Information (AoI) has emerged as a pivotal metric for evaluating timeline…

cs.LG2023

Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing

Lyudong Jin, Ming Tang, Meng Zhang +1

Mobile edge computing (MEC) is a promising paradigm for real-time applications with intensive computational needs (e.g., autonomous driving), as it can reduce the processing delay.…

MoE2: Optimizing Collaborative Inference for Edge Large Language Models

Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing

Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing

MoE $^{2}$ : Optimizing Collaborative Inference for Edge Large Language Models