Copertina

SplitCom: Communication-efficient Split Federated Fine-tuning of LLMs via Temporal Compression

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Tao, Tang, Yulin, Song, Yiyang, Wu, Cong, Liu, Xihui, Li, Pan, Chen, Xianhao
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Networking and Internet Architecture
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Optimizing Split Federated Learning with Unstable Client Participation
di: Wei, Wei, et al.
Pubblicazione: (2025)

Pipelining Split Learning in Multi-hop Edge Networks
di: Wei, Wei, et al.
Pubblicazione: (2025)

Federated Split Learning with Improved Communication and Storage Efficiency
di: Mu, Yujia, et al.
Pubblicazione: (2025)

ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices
di: Zhu, Guangyu, et al.
Pubblicazione: (2024)

LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite Networks
di: Lin, Zheng, et al.
Pubblicazione: (2025)

CovertComBench: A First Domain-Specific Testbed for LLMs in Wireless Covert Communication
di: Liu, Zhaozhi, et al.
Pubblicazione: (2026)

Split Learning in 6G Edge Networks
di: Lin, Zheng, et al.
Pubblicazione: (2023)

Application-Aware Twin-in-the-Loop Planning for Federated Split Learning over Wireless Edge Networks
di: Ding, Zihao, et al.
Pubblicazione: (2026)

Efficient Split Federated Learning for Large Language Models over Communication Networks
di: Zhao, Kai, et al.
Pubblicazione: (2025)

Optimization of Model Splitting, Placement, and Chaining for Multi-hop Split Learning and Inference
di: Hara, Takanori, et al.
Pubblicazione: (2026)

NSC-SL: A Bandwidth-Aware Neural Subspace Compression for Communication-Efficient Split Learning
di: Fang, Zhen, et al.
Pubblicazione: (2026)

FedsLLM: Federated Split Learning for Large Language Models over Communication Networks
di: Zhao, Kai, et al.
Pubblicazione: (2024)

EMS-FL: Federated Tuning of Mixture-of-Experts in Satellite-Terrestrial Networks via Expert-Driven Model Splitting
di: Xu, Angzi, et al.
Pubblicazione: (2026)

Hierarchical Split Federated Learning: Convergence Analysis and System Optimization
di: Lin, Zheng, et al.
Pubblicazione: (2024)

A Secure Splitting and Acceleration Strategy for TCP/QUIC in Interplanetary Networks
di: Yu, Jianhao, et al.
Pubblicazione: (2026)

Efficient Twin Migration in Vehicular Metaverses: Multi-Agent Split Deep Reinforcement Learning with Spatio-Temporal Trajectory Generation
di: Chen, Junlong, et al.
Pubblicazione: (2025)

Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency
di: Mudvari, Akrit, et al.
Pubblicazione: (2023)

Resources on the Move for Smart City: A Disruptive Perspective on the Grand Convergence of Sensing, Communications, Computing, Storage, and Intelligence
di: Fang, Yuguang, et al.
Pubblicazione: (2024)

QoE-Aware and Secure UAV-Aided Rate-Splitting Multiple Access Based Communications
di: Adam, Abuzar B. M., et al.
Pubblicazione: (2024)

SLIDE: Simultaneous Model Downloading and Inference at the Wireless Network Edge
di: Qu, Guanqiao, et al.
Pubblicazione: (2025)

Edge Learning via Federated Split Decision Transformers for Metaverse Resource Allocation
di: Temiz, Fatih, et al.
Pubblicazione: (2026)

Energy-efficient Functional Split in Non-terrestrial Open Radio Access Networks
di: Shahabi, S. M. Mahdi, et al.
Pubblicazione: (2024)

SL-ACC: A Communication-Efficient Split Learning Framework with Adaptive Channel-wise Compression
di: Lin, Zehang, et al.
Pubblicazione: (2025)

MEC Task Offloading in AIoT: A User-Centric DRL Model Splitting Inference Scheme
di: Li, Weixi, et al.
Pubblicazione: (2025)

Optimized Split Computing Framework for Edge and Core Devices
di: Tassi, Andrea, et al.
Pubblicazione: (2025)

R-ACP: Real-Time Adaptive Collaborative Perception Leveraging Robust Task-Oriented Communications
di: Fang, Zhengru, et al.
Pubblicazione: (2024)

Feasibility Study of Function Splits in RAN Architectures with LEO Satellites
di: Seeram, Siva Satya Sri Ganesh, et al.
Pubblicazione: (2024)

Distributed Split Computing Using Diffusive Metrics for UAV Swarms
di: Sarı, Talip Tolga, et al.
Pubblicazione: (2025)

Personalized Hierarchical Split Federated Learning in Wireless Networks
di: Pervej, Md-Ferdous, et al.
Pubblicazione: (2024)

Hierarchical Online-Scheduling for Energy-Efficient Split Inference with Progressive Transmission
di: Tang, Zengzipeng, et al.
Pubblicazione: (2026)

Service Function Chaining Architecture for Multi-hop Split Inference and Learning
di: Hara, Takanori, et al.
Pubblicazione: (2025)

Multi-hop Multi-RIS Wireless Communication Systems: Multi-reflection Path Scheduling and Beamforming
di: Ma, Xiaoyan, et al.
Pubblicazione: (2024)

On the Architectural Split and Radio Intelligence Controller Placement in Integrated O-RAN-enabled Non-Terrestrial Networks
di: Baranda, Jorge, et al.
Pubblicazione: (2025)

Adaptive Split Learning over Energy-Constrained Wireless Edge Networks
di: Li, Zuguang, et al.
Pubblicazione: (2024)

Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing
di: Qiang, Xianke, et al.
Pubblicazione: (2024)

Multi-User Generative Semantic Communication with Intent-Aware Semantic-Splitting Multiple Access
di: Lu, Jiayi, et al.
Pubblicazione: (2025)

Energy-efficient Federated Learning for UAV Communications
di: Fu, Chien-Wei, et al.
Pubblicazione: (2025)

Collaborative Air-Ground Sensing, Communication, Computing, Storage, and Intelligence for Low-Altitude Economy
di: Deng, Yiqin, et al.
Pubblicazione: (2026)

Handover Delay Minimization in Non-Terrestrial Networks: Impact of Open RAN Functional Splits
di: Seeram, Siva Satya Sri Ganesh, et al.
Pubblicazione: (2025)

Resource Management in RIS-Assisted Rate Splitting Multiple Access for Next Generation (xG) Wireless Communications: Models, State-of-the-Art, and Future Directions
di: Aboumahmoud, Ibrahim, et al.
Pubblicazione: (2024)