Cover Image

Agentic Trust Coordination for Federated Learning through Adaptive Thresholding and Autonomous Decision Making in Sustainable and Resilient Industrial Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shepherd, Paul, Dagiuklas, Tasos, Alkan, Bugra, Rodriguez, Jonathan
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Trust Aware Federated Learning for Secure Bone Healing Stage Interpretation in e-Health
by: Shepherd, Paul, et al.
Published: (2026)

Deliverable D5.1 Project Handbook
by: Dagiuklas, Tasos
Published: (2026)

Architectural Blueprint For Heterogeneity-Resilient Federated Learning
by: Bashir, Satwat, et al.
Published: (2024)

Performance Comparison of IBN orchestration using LLM and SLMs
by: Phone, Wai Lwin, et al.
Published: (2026)

Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning
by: Bashir, Satwat, et al.
Published: (2026)

Agentic AI for Autonomous, Explainable, and Real-Time Credit Risk Decision-Making
by: Kubam, Chandra Sekhar
Published: (2025)

From Privacy to Trust in the Agentic Era: A Taxonomy of Challenges in Trustworthy Federated Learning Through the Lens of Trust Report 2.0
by: Rodríguez-Barroso, Nuria, et al.
Published: (2025)

DAO-AI: Evaluating Collective Decision-Making through Agentic AI in Decentralized Governance
by: Capponi, Agostino, et al.
Published: (2025)

Semantic Chain-of-Trust: Autonomous Trust Orchestration for Collaborator Selection via Hypergraph-Aided Agentic AI
by: Zhu, Botao, et al.
Published: (2025)

R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory
by: Huang, Tenghao, et al.
Published: (2025)

Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systems
by: Cassano, Lorenzo, et al.
Published: (2024)

Collaborative Trustworthiness for Good Decision Making in Autonomous Systems
by: Saidi, Selma, et al.
Published: (2025)

Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
by: Hori, Toshiaki, et al.
Published: (2025)

Autonomous Traffic Signal Optimization Using Digital Twin and Agentic AI for Real-Time Decision-Making
by: Jan, Salman, et al.
Published: (2026)

Agentic LLM Framework for Adaptive Decision Discourse
by: Dolant, Antoine, et al.
Published: (2025)

Cognition Envelopes for Bounded Decision Making in Autonomous UAS Operations
by: Granadeno, Pedro Antonio Alarcon, et al.
Published: (2025)

On-orbit Servicing for Spacecraft Collision Avoidance With Autonomous Decision Making
by: Patnala, Susmitha, et al.
Published: (2024)

Towards Hypermedia Environments for Adaptive Coordination in Industrial Automation
by: Ramanathan, Ganesh, et al.
Published: (2024)

Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
by: Luo, Baiting, et al.
Published: (2024)

DRNet: A Decision-Making Method for Autonomous Lane Changingwith Deep Reinforcement Learning
by: Xu, Kunpeng, et al.
Published: (2023)

Before We Trust Them: Decision-Making Failures in Navigation of Foundation Models
by: Han, Jua, et al.
Published: (2026)

Not All Trust is the Same: Effects of Decision Workflow and Explanations in Human-AI Decision Making
by: Spillner, Laura, et al.
Published: (2026)

Trustworthy and Responsible AI for Human-Centric Autonomous Decision-Making Systems
by: Dehghani, Farzaneh, et al.
Published: (2024)

When AI Persuades: Adversarial Explanation Attacks on Human Trust in AI-Assisted Decision Making
by: Fan, Shutong, et al.
Published: (2026)

Deep Attention Driven Reinforcement Learning (DAD-RL) for Autonomous Decision-Making in Dynamic Environment
by: Chowdhury, Jayabrata, et al.
Published: (2024)

Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making
by: Wan, Hanxi, et al.
Published: (2024)

CoFlow: Coordinated Few-Step Flow for Offline Multi-Agent Decision Making
by: Zou, Guowei, et al.
Published: (2026)

Energy-Efficient Autonomous Driving with Adaptive Perception and Robust Decision
by: Xia, Yuyang, et al.
Published: (2025)

Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments
by: Castri, Luca, et al.
Published: (2025)

Autonomous Artificial Intelligence Agents for Clinical Decision Making in Oncology
by: Ferber, Dyke, et al.
Published: (2024)

Authority without Authorship: Delegation Thresholds in Agentic AI Systems
by: Kahl, Peter
Published: (2026)

Real-Time Trust Verification for Safe Agentic Actions using TrustBench
by: Sharma, Tavishi, et al.
Published: (2026)

Enhancing Trust in Autonomous Agents: An Architecture for Accountability and Explainability through Blockchain and Large Language Models
by: Fernández-Becerra, Laura, et al.
Published: (2024)

Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning
by: Cai, Tianhui, et al.
Published: (2024)

StarBench: A Turn-Based RPG Benchmark for Agentic Multimodal Decision-Making and Information Seeking
by: Zhang, Haoran, et al.
Published: (2025)

Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems
by: Singh, Samaresh Kumar, et al.
Published: (2025)

Don't Trust Stubborn Neighbors: A Security Framework for Agentic Networks
by: Abedini, Samira, et al.
Published: (2026)

Artificial Intelligence-Driven Clinical Decision Support Systems
by: Alkan, Muhammet, et al.
Published: (2025)

Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation
by: Vyas, Javal, et al.
Published: (2025)

Adaptive Hypergraph Network for Trust Prediction
by: Xu, Rongwei, et al.
Published: (2024)