Resource Management for Low-latency Cooperative Fine-tuning of Foundation Models at the Network Edge
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Hai, Chen, Xu, Huang, Kaibin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2025)
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2025)
Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States
by: Zhang, Jierui, et al.
Published: (2026)
by: Zhang, Jierui, et al.
Published: (2026)
Green Edge AI: A Contemporary Survey
by: Mao, Yuyi, et al.
Published: (2023)
by: Mao, Yuyi, et al.
Published: (2023)
Lightweight Quantum Agent for Edge Systems: Joint PQC and NOMA Resource Allocation
by: Yao, Yongtao, et al.
Published: (2026)
by: Yao, Yongtao, et al.
Published: (2026)
Computation Rate Maximization for Wireless Powered Edge Computing With Multi-User Cooperation
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Spatial Computing Communications for Multi-User Virtual Reality in Distributed Mobile Edge Computing Network
by: Xu, Caolu, et al.
Published: (2025)
by: Xu, Caolu, et al.
Published: (2025)
Knowledge-Based Ultra-Low-Latency Semantic Communications for Robotic Edge Intelligence
by: Zeng, Qunsong, et al.
Published: (2024)
by: Zeng, Qunsong, et al.
Published: (2024)
On the Non-decoupling of Supervised Fine-tuning and Reinforcement Learning in Post-training
by: Niu, Xueyan, et al.
Published: (2026)
by: Niu, Xueyan, et al.
Published: (2026)
Cooperative Tri-Point Model-Based Ground-to-Air Coverage Extension in Beyond 5G Networks
by: Cai, Ziwei, et al.
Published: (2024)
by: Cai, Ziwei, et al.
Published: (2024)
Adaptive Cooperative Transmission Design for Ultra-Reliable Low-Latency Communications via Deep Reinforcement Learning
by: Yu, Hyemin, et al.
Published: (2025)
by: Yu, Hyemin, et al.
Published: (2025)
A Federated Fine-Tuning Paradigm of Foundation Models in Heterogenous Wireless Networks
by: Wang, Jingyi, et al.
Published: (2025)
by: Wang, Jingyi, et al.
Published: (2025)
Exploiting Deep Reinforcement Learning for Edge Caching in Cell-Free Massive MIMO Systems
by: Zhang, Yu, et al.
Published: (2022)
by: Zhang, Yu, et al.
Published: (2022)
Semantic Communication for Cooperative Perception using HARQ
by: Sheng, Yucheng, et al.
Published: (2024)
by: Sheng, Yucheng, et al.
Published: (2024)
WISV: Wireless-Informed Semantic Verification for Distributed Speculative Decoding in Device-Edge LLM Inference
by: Liu, Zixuan, et al.
Published: (2026)
by: Liu, Zixuan, et al.
Published: (2026)
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference
by: Xue, Nan, et al.
Published: (2026)
by: Xue, Nan, et al.
Published: (2026)
Dynamic Quality-Latency Aware Routing for LLM Inference in Wireless Edge-Device Networks
by: Bao, Rui, et al.
Published: (2025)
by: Bao, Rui, et al.
Published: (2025)
Pre-train and Fine-tune: Recommenders as Large Models
by: Jiang, Zhenhao, et al.
Published: (2025)
by: Jiang, Zhenhao, et al.
Published: (2025)
Integrated Sensing and Edge AI: Realizing Intelligent Perception in 6G
by: Liu, Zhiyan, et al.
Published: (2025)
by: Liu, Zhiyan, et al.
Published: (2025)
CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge
by: Guo, Zhiheng, et al.
Published: (2026)
by: Guo, Zhiheng, et al.
Published: (2026)
GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks
by: Wang, Yejing, et al.
Published: (2025)
by: Wang, Yejing, et al.
Published: (2025)
Diffusion Model Based Resource Allocation Strategy in Ultra-Reliable Wireless Networked Control Systems
by: Darabi, Amirhassan Babazadeh, et al.
Published: (2024)
by: Darabi, Amirhassan Babazadeh, et al.
Published: (2024)
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application
by: Li, Tongjie, et al.
Published: (2025)
by: Li, Tongjie, et al.
Published: (2025)
MOTIF: Modular Thinking via Reinforcement Fine-tuning in LLMs
by: Mitra, Purbesh, et al.
Published: (2025)
by: Mitra, Purbesh, et al.
Published: (2025)
FedLoDrop: Federated LoRA with Dropout for Generalized LLM Fine-tuning
by: Xie, Sijing, et al.
Published: (2025)
by: Xie, Sijing, et al.
Published: (2025)
On the View-and-Channel Aggregation Gain in Integrated Sensing and Edge AI
by: Chen, Xu, et al.
Published: (2023)
by: Chen, Xu, et al.
Published: (2023)
Foundations for Digital Twins
by: Wilson, Finn, et al.
Published: (2024)
by: Wilson, Finn, et al.
Published: (2024)
CSGO: Generalized Optimization for Cold Start in Wireless Collaborative Edge LLM Systems
by: Liu, Xuran, et al.
Published: (2025)
by: Liu, Xuran, et al.
Published: (2025)
Integrated Sensing-Communication-Computation for Edge Artificial Intelligence
by: Wen, Dingzhu, et al.
Published: (2023)
by: Wen, Dingzhu, et al.
Published: (2023)
A Survey on Integrated Sensing, Communication, and Computation
by: Wen, Dingzhu, et al.
Published: (2024)
by: Wen, Dingzhu, et al.
Published: (2024)
A Wireless Foundation Model for Multi-Task Prediction
by: Sheng, Yucheng, et al.
Published: (2025)
by: Sheng, Yucheng, et al.
Published: (2025)
Beamforming and Resource Allocation for Delay Minimization in RIS-Assisted OFDM Systems
by: Ma, Yu, et al.
Published: (2025)
by: Ma, Yu, et al.
Published: (2025)
Rethinking Resource Management in Edge Learning: A Joint Pre-training and Fine-tuning Design Paradigm
by: Lyu, Zhonghao, et al.
Published: (2024)
by: Lyu, Zhonghao, et al.
Published: (2024)
Foundational theories of hesitant fuzzy sets and families of hesitant fuzzy sets
by: Lu, Shizhan, et al.
Published: (2023)
by: Lu, Shizhan, et al.
Published: (2023)
Energy-Efficient Edge Inference in Integrated Sensing, Communication, and Computation Networks
by: Yao, Jiacheng, et al.
Published: (2025)
by: Yao, Jiacheng, et al.
Published: (2025)
Large Model Enabled Embodied Intelligence for 6G Integrated Perception, Communication, and Computation Network
by: Li, Zhuoran, et al.
Published: (2025)
by: Li, Zhuoran, et al.
Published: (2025)
Semantic-Relevance Based Sensor Selection for Edge-AI Empowered Sensing Systems
by: Liu, Zhiyan, et al.
Published: (2025)
by: Liu, Zhiyan, et al.
Published: (2025)
Task-oriented Over-the-air Computation for Edge-device Co-inference with Balanced Classification Accuracy
by: Jiao, Xiang, et al.
Published: (2024)
by: Jiao, Xiang, et al.
Published: (2024)
Random Aggregate Beamforming for Over-the-Air Federated Learning in Large-Scale Networks
by: Xu, Chunmei, et al.
Published: (2024)
by: Xu, Chunmei, et al.
Published: (2024)
Channel Knowledge Map Construction via Guided Flow Matching
by: Huang, Ziyu, et al.
Published: (2026)
by: Huang, Ziyu, et al.
Published: (2026)
Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning
by: Wang, Zhongwei, et al.
Published: (2025)
by: Wang, Zhongwei, et al.
Published: (2025)
Similar Items
-
Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2025) -
Channel-Adaptive Edge AI: Maximizing Inference Throughput by Adapting Computational Complexity to Channel States
by: Zhang, Jierui, et al.
Published: (2026) -
Green Edge AI: A Contemporary Survey
by: Mao, Yuyi, et al.
Published: (2023) -
Lightweight Quantum Agent for Edge Systems: Joint PQC and NOMA Resource Allocation
by: Yao, Yongtao, et al.
Published: (2026) -
Computation Rate Maximization for Wireless Powered Edge Computing With Multi-User Cooperation
by: Li, Yang, et al.
Published: (2024)