Image de couverture de livre

Autonomous Edge-Deployed AI Agents for Electric Vehicle Charging Infrastructure Management

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Cherifi, Mohammed
Format:	Preprint
Publié:	2026
Sujets:	Distributed, Parallel, and Cluster Computing Artificial Intelligence Machine Learning Systems and Control I.2.11; C.2.4; H.3.3
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SLA Management in Reconfigurable Multi-Agent RAG: A Systems Approach to Question Answering
par: Iannelli, Michael, et autres
Publié: (2024)

De-DSI: Decentralised Differentiable Search Index
par: Neague, Petru, et autres
Publié: (2024)

How Machine Learning-Data Driven Replication Strategies Enhance Fault Tolerance in Large-Scale Distributed Systems
par: Murimi, Almond Kiruthu
Publié: (2025)

AMP4EC: Adaptive Model Partitioning Framework for Efficient Deep Learning Inference in Edge Computing Environments
par: Zhang, Guilin, et autres
Publié: (2025)

I/O in Machine Learning Applications on HPC Systems: A 360-degree Survey
par: Lewis, Noah, et autres
Publié: (2024)

Accelerating Geo-distributed Machine Learning with Network-Aware Adaptive Tree and Auxiliary Route
par: Li, Zonghang, et autres
Publié: (2024)

HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation
par: Nguyen, Thinh, et autres
Publié: (2025)

Deploy, Calibrate, Monitor, Heal -- No Human Required: An Autonomous AI SRE Agent for Elasticsearch
par: Mukkolakkal, Muhamed Ramees Cheriya
Publié: (2026)

Active Data
par: Arthur, Richard, et autres
Publié: (2026)

Adaptive GPU Resource Allocation for Multi-Agent Collaborative Reasoning in Serverless Environments
par: Zhang, Guilin, et autres
Publié: (2025)

Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning
par: Bhattacharya, Siddhartha, et autres
Publié: (2024)

TAGC: Optimizing Gradient Communication in Distributed Transformer Training
par: Polyakov, Igor, et autres
Publié: (2025)

Valori: A Deterministic Memory Substrate for AI Systems
par: Gudur, Varshith
Publié: (2025)

A Prompt-Aware Structuring Framework for Reliable Reuse of AI-Generated Content in the Agentic Web
par: Egami, Shusaku, et autres
Publié: (2026)

FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems
par: Woisetschläger, Herbert, et autres
Publié: (2023)

PRECEPT: Planning Resilience via Experience, Context Engineering & Probing Trajectories A Unified Framework for Test-Time Adaptation with Compositional Rule Learning and Pareto-Guided Prompt Evolution
par: Shahmansoori, Arash
Publié: (2026)

Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks
par: Dong, Fan, et autres
Publié: (2023)

Designing Scalable Rate Limiting Systems: Algorithms, Architecture, and Distributed Solutions
par: Guan, Bo
Publié: (2026)

Complex Event Processing in the Edge: A Combined Optimization Approach for Data and Code Placement
par: Uyanık, Halit, et autres
Publié: (2026)

Federated Few-Shot Learning on Neuromorphic Hardware: An Empirical Study Across Physical Edge Nodes
par: Motta, Steven, et autres
Publié: (2026)

Passing the Baton: High Throughput Distributed Disk-Based Vector Search with BatANN
par: Dang, Nam Anh, et autres
Publié: (2025)

Roadmap for Edge AI: A Dagstuhl Perspective
par: Ding, Aaron Yi, et autres
Publié: (2021)

Scheduling the Unschedulable: Taming Black-Box LLM Inference at Scale
par: Yuan, Renzhong, et autres
Publié: (2026)

Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly
par: Woisetschläger, Herbert, et autres
Publié: (2023)

TokenCake: A KV-Cache-centric Serving Framework for LLM-based Multi-Agent Applications
par: Bian, Zhuohang, et autres
Publié: (2025)

Mobile Traffic Prediction at the Edge Through Distributed and Deep Transfer Learning
par: Petrella, Alfredo, et autres
Publié: (2023)

PROV-AGENT: Unified Provenance for Tracking AI Agent Interactions in Agentic Workflows
par: Souza, Renan, et autres
Publié: (2025)

A Taxonomy and Resolution Strategy for Client-Level Disagreements in Federated Learning
par: Rosendal, Daan, et autres
Publié: (2026)

Bridging Generalization Gap of Heterogeneous Federated Clients Using Generative Models
par: Niu, Ziru, et autres
Publié: (2025)

SparkAttention: High-Performance Multi-Head Attention for Large Models on Volta GPU Architecture
par: Xu, Youxuan, et autres
Publié: (2025)

AutoDDL: Automatic Distributed Deep Learning with Near-Optimal Bandwidth Cost
par: Chen, Jinfan, et autres
Publié: (2023)

Agent Identity URI Scheme: Topology-Independent Naming and Capability-Based Discovery for Multi-Agent Systems
par: Rodriguez Jr, Roland R.
Publié: (2026)

MirLibSpark: A Scalable NGS Plant MicroRNA Prediction Pipeline for Multi-Library Functional Annotation
par: Wu, Chao-Jung, et autres
Publié: (2025)

Context: Proactive Goal-Directed Intelligence via Composable Sandboxed Programs, Declarative Wiring, and Structured Interaction
par: Magarshak, Gregory
Publié: (2026)

Risk Management for Distributed Arbitrage Systems: Integrating Artificial Intelligence
par: Hazarika, Akaash Vishal, et autres
Publié: (2025)

Understanding Multi-Agent LLM Frameworks: A Unified Benchmark and Experimental Analysis
par: Orogat, Abdelghny, et autres
Publié: (2026)

The Bureaucracy of Speed: Structural Equivalence Between Memory Consistency Models and Multi-Agent Authorization Revocation
par: Parakhin, Vladyslav
Publié: (2026)

zScore: A Universal Decentralised Reputation System for the Blockchain Economy
par: Udupi, Himanshu, et autres
Publié: (2025)

Neural Router: Semantic Content Matching for Agentic AI
par: Lovén, Lauri, et autres
Publié: (2026)

IdeaForge: A Knowledge Graph-Grounded Multi-Agent Framework for Cross-Methodology Innovation Analysis and Patent Claim Generation
par: Bose, Joy
Publié: (2026)