Cover Image

DisCEdge: Distributed Context Management for Large Language Models at the Edge

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Malekabbasi, Mohammadreza, Wang, Minghe, Bermbach, David
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Databases Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FaaSMoE: A Serverless Framework for Multi-Tenant Mixture-of-Experts Serving
by: Wang, Minghe, et al.
Published: (2026)

GeoFaaS: An Edge-to-Cloud FaaS Platform
by: Malekabbasi, Mohammadreza, et al.
Published: (2024)

Umbilical Choir: Automated Live Testing for Edge-To-Cloud FaaS Applications
by: Malekabbasi, Mohammadreza, et al.
Published: (2025)

EdgeServe: A Streaming System for Decentralized Model Serving
by: Shaowang, Ted, et al.
Published: (2023)

Towards Serverless Processing of Spatiotemporal Big Data Queries
by: Baumann, Diana, et al.
Published: (2025)

Evaluating the Impact Of Spatial Features Of Mobility Data and Index Choice On Database Performance
by: Rese, Tim C., et al.
Published: (2025)

COSTREAM: Learned Cost Models for Operator Placement in Edge-Cloud Environments
by: Heinrich, Roman, et al.
Published: (2024)

Predicting Temporal Aspects of Movement for Predictive Replication in Fog Environments
by: Balitzki, Emil, et al.
Published: (2023)

EdgeMiner: Distributed Process Mining at the Data Sources
by: Andersen, Julia, et al.
Published: (2024)

PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection
by: Xu, Ronghui, et al.
Published: (2024)

FLAM: Evaluating Model Performance with Aggregatable Measures in Federated Learning
by: Stricker, Fabian, et al.
Published: (2026)

CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning
by: Zhang, Jun, et al.
Published: (2025)

Improving Automatic Parallel Training via Balanced Memory Workload Optimization
by: Wang, Yujie, et al.
Published: (2023)

TablePuppet: A Generic Framework for Relational Federated Learning
by: Xu, Lijie, et al.
Published: (2024)

Exploring Influence Factors on LLM Suitability for No-Code Development of End User IoT Applications
by: Wang, Minghe, et al.
Published: (2025)

Distributed Indexing Schemes for k-Dominant Skyline Analytics on Uncertain Edge-IoT Data
by: Lai, Chuan-Chi, et al.
Published: (2023)

Workshop Scientific HPC in the pre-Exascale era (part of ITADATA 2024) Proceedings
by: Bena, Nicola, et al.
Published: (2025)

Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases
by: Alam, Md. Tanvir, et al.
Published: (2025)

Morphing-based Compression for Data-centric ML Pipelines
by: Baunsgaard, Sebastian, et al.
Published: (2025)

Delta Tensor: Efficient Vector and Tensor Storage in Delta Lake
by: Bao, Zhiwei, et al.
Published: (2024)

EmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training
by: Merkel, Nikolai, et al.
Published: (2026)

TensAIR: Real-Time Training of Neural Networks from Data-streams
by: Tosi, Mauro D. L., et al.
Published: (2022)

Embedding Samples Dispatching for Recommendation Model Training in Edge Environments
by: Li, Guopeng, et al.
Published: (2025)

Lessons Learned from Building Edge Software System Testbeds
by: Pfandzelter, Tobias, et al.
Published: (2024)

Intelligent Orchestration of Distributed Large Foundation Model Inference at the Edge
by: Koch, Fernando, et al.
Published: (2025)

Komet: A Serverless Platform for Low-Earth Orbit Edge Services
by: Pfandzelter, Tobias, et al.
Published: (2024)

Harnessing Data Spaces to Build Intelligent Smart City Infrastructures Across the Cloud-Edge Continuum
by: Amaxilatis, Dimitrios, et al.
Published: (2025)

Are Unikernels Ready for Serverless on the Edge?
by: Moebius, Felix, et al.
Published: (2024)

On-device Online Learning and Semantic Management of TinyML Systems
by: Ren, Haoyu, et al.
Published: (2024)

LLM4FaaS: No-Code Application Development using LLMs and FaaS
by: Wang, Minghe, et al.
Published: (2025)

AgileDART: An Agile and Scalable Edge Stream Processing Engine
by: Ching, Cheng-Wei, et al.
Published: (2024)

GetBatch: Distributed Multi-Object Retrieval for ML Data Loading
by: Aizman, Alex, et al.
Published: (2026)

DSD: A Distributed Speculative Decoding Solution for Edge-Cloud Agile Large Model Serving
by: Yu, Fengze, et al.
Published: (2025)

A Chunked-Object Pattern for Multi-Region Large Payload Storage in Managed NoSQL Databases
by: Chinthareddy, Manideep Reddy
Published: (2025)

Probabilistic Top-k Dominating Query Monitoring over Multiple Uncertain IoT Data Streams in Edge Computing Environments
by: Lai, Chuan-Chi, et al.
Published: (2019)

FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
by: Stricker, F., et al.
Published: (2025)

Fast Distributed Inference Serving for Large Language Models
by: Wu, Bingyang, et al.
Published: (2023)

Priority-Aware Model-Distributed Inference at Edge Networks
by: Li, Teng, et al.
Published: (2024)

Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing
by: Lyu, Chenghao, et al.
Published: (2022)

Optimizing Distributed Protocols with Query Rewrites [Technical Report]
by: Chu, David, et al.
Published: (2024)