Imagen de Portada

SlimCaching: Edge Caching of Mixture-of-Experts for Distributed Inference

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Qian, Chen, Xianhao, Huang, Kaibin
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Distributed, Parallel, and Cluster Computing Networking and Internet Architecture
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

A Learning-Based Caching Mechanism for Edge Content Delivery
por: Torabi, Hoda, et al.
Publicado: (2024)

SpaceMoE: Realizing Distributed Mixture-of-Experts Inference over Space Networks
por: Wang, Zhanwei, et al.
Publicado: (2026)

Distributed Mixture-of-Agents for Edge Inference with Large Language Models
por: Mitra, Purbesh, et al.
Publicado: (2024)

A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications
por: Manchanda, Ashish, et al.
Publicado: (2024)

RailS: Load Balancing for All-to-All Communication in Distributed Mixture-of-Experts Training
por: Xu, Heng, et al.
Publicado: (2025)

Joint Optimization of Training and Inference in Federated Edge Learning via Constrained Multi-Objective Deep Reinforcement Learning
por: Li, Zhen, et al.
Publicado: (2026)

Early-Exit meets Model-Distributed Inference at Edge Networks
por: Colocrese, Marco, et al.
Publicado: (2024)

LOAM: Low-latency Communication, Caching, and Computation Placement in Data-Intensive Computing Networks
por: Zhang, Jinkun, et al.
Publicado: (2024)

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

DeepEdge: A Deep Reinforcement Learning based Task Orchestrator for Edge Computing
por: Yamansavascilar, Baris, et al.
Publicado: (2021)

DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing
por: Gu, Xueying, et al.
Publicado: (2024)

A Survey on Privacy-Preserving Caching at Network Edge: Classification, Solutions, and Challenges
por: Zhang, Xianzhi, et al.
Publicado: (2024)

Optimizing Edge Offloading Decisions for Object Detection
por: Qiu, Jiaming, et al.
Publicado: (2024)

GORGO: Maximizing KV-Cache Reuse While Minimizing Network Latency in Cross-Region LLM Load Balancing
por: Toniolo, Alessio Ricci, et al.
Publicado: (2026)

Joint Partitioning and Placement of Foundation Models for Real-Time Edge AI
por: Djuhera, Aladin, et al.
Publicado: (2025)

ScaDLES: Scalable Deep Learning over Streaming data at the Edge
por: Tyagi, Sahil, et al.
Publicado: (2023)

Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks
por: Wang, Su, et al.
Publicado: (2023)

On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks
por: Lai, Bingkun, et al.
Publicado: (2024)

Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference
por: Ye, Shengyuan, et al.
Publicado: (2024)

SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization
por: Mudvari, Akrit, et al.
Publicado: (2024)

GELATO: Generative Entropy- and Lyapunov-based Adaptive Token Offloading for Device-Edge Speculative LLM Inference
por: Tang, Zengzipeng, et al.
Publicado: (2026)

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

Local Rendezvous Hashing: Bounded Loads and Minimal Churn via Cache-Local Candidates
por: Guan, Yongjie
Publicado: (2025)

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

PeerSync: Accelerating Containerized Service Delivery at the Network Edge
por: Deng, Yinuo, et al.
Publicado: (2025)

Network Anomaly Detection in Distributed Edge Computing Infrastructure
por: Marfo, William, et al.
Publicado: (2025)

Service Placement in Small Cell Networks Using Distributed Best Arm Identification in Linear Bandits
por: Yahya, Mariam, et al.
Publicado: (2025)

A Density-Delay Law for Stable Event-Driven State Progression in Open Distributed Systems
por: Chen, Bin, et al.
Publicado: (2026)

HALO: Semantic-Aware Distributed LLM Inference in Lossy Edge Network
por: Zheng, Peirong, et al.
Publicado: (2026)

Network Digital Untwinning: Towards Backward Optimization of Digital Twins
por: Zhang, Zifan, et al.
Publicado: (2026)

Revisiting Cache Freshness for Emerging Real-Time Applications
por: Mao, Ziming, et al.
Publicado: (2024)

Topology-aware Microservice Architecture in Edge Networks: Deployment Optimization and Implementation
por: Chen, Yuang, et al.
Publicado: (2025)

PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services
por: Yang, Zheming, et al.
Publicado: (2024)

A Multi-Layered Distributed Computing Framework for Enhanced Edge Computing
por: Ma, Ke, et al.
Publicado: (2024)

UCCL-EP: Portable Expert-Parallel Communication
por: Mao, Ziming, et al.
Publicado: (2025)

Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence
por: Zeng, Liekang, et al.
Publicado: (2024)

Resource-Efficient Personal Large Language Models Fine-Tuning with Collaborative Edge Computing
por: Ye, Shengyuan, et al.
Publicado: (2024)

EMA: Efficient Model Adaptation for Learning-based Systems
por: Yu, Daiyang, et al.
Publicado: (2026)

SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework
por: Wu, Jiasheng, et al.
Publicado: (2025)