Cover Image

Zero-Trust Agentic Federated Learning for Secure IIoT Defense Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Singh, Samaresh Kumar, Roy, Joyjit, So, Martin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Cryptography and Security Distributed, Parallel, and Cluster Computing Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Security Without Detection: Economic Denial as a Primitive for Edge and IoT Defense
by: Singh, Samaresh Kumar, et al.
Published: (2025)

LAFA: Agentic LLM-Driven Federated Analytics over Decentralized Data Sources
by: Ji, Haichao, et al.
Published: (2025)

Authenticated Workflows: A Systems Approach to Protecting Agentic AI
by: Rajagopalan, Mohan, et al.
Published: (2026)

Adversary-Augmented Simulation for Fairness Evaluation and Defense in Hyperledger Fabric
by: Mahe, Erwan, et al.
Published: (2025)

mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architecture
by: Zhang, Wei, et al.
Published: (2024)

Adversary-Augmented Simulation to evaluate fairness on HyperLedger Fabric
by: Mahe, Erwan, et al.
Published: (2024)

Ordered Consensus with Equal Opportunity
by: Zhang, Yunhao, et al.
Published: (2025)

Order Fairness Evaluation of DAG-based ledgers
by: Mahe, Erwan, et al.
Published: (2025)

FLARE: Adaptive Multi-Dimensional Reputation for Robust Client Reliability in Federated Learning
by: Younesi, Abolfazl, et al.
Published: (2025)

HadAgent: Harness-Aware Decentralized Agentic AI Serving with Proof-of-Inference Blockchain Consensus
by: Jimenez, Landy, et al.
Published: (2026)

When Agents Control Robots: A Zero Trust Policy Model for Agentic Cyber-Physical Systems
by: Ranathunga, Tharindu, et al.
Published: (2026)

Self-Supervised Inference of Agents in Trustless Environments
by: Larin, Vladyslav, et al.
Published: (2024)

Privacy-Preserving Distributed Learning for Residential Short-Term Load Forecasting
by: Dong, Yi, et al.
Published: (2024)

On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)

Zero-Knowledge Proof-Based Consensus for Blockchain-Secured Federated Learning
by: Fu, Tianxing, et al.
Published: (2025)

GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning
by: Gan, Xiaoyun, et al.
Published: (2024)

Decentralized Multi-Agent Swarms for Autonomous Grid Security in Industrial IoT: A Consensus-based Approach
by: Singh, Samaresh Kumar, et al.
Published: (2026)

SelectiveShield: Lightweight Hybrid Defense Against Gradient Leakage in Federated Learning
by: Li, Borui, et al.
Published: (2025)

Towards Secure and Trusted-by-Design Smart Contracts
by: Dargaye, Zaynah, et al.
Published: (2024)

Secure and Privacy-Preserving Vertical Federated Learning
by: Jin, Shan, et al.
Published: (2026)

Trustworthy Federated Learning: Privacy, Security, and Beyond
by: Chen, Chunlu, et al.
Published: (2024)

Pathway to Secure and Trustworthy ZSM for LLMs: Attacks, Defense, and Opportunities
by: Khowaja, Sunder Ali, et al.
Published: (2024)

Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
by: Boitier, William, et al.
Published: (2024)

Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems
by: Singh, Samaresh Kumar, et al.
Published: (2026)

EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
by: Li, Zhiqiang, et al.
Published: (2025)

Speculative Actions: A Lossless Framework for Faster Agentic Systems
by: Ye, Naimeng, et al.
Published: (2025)

Securing AI Agents in Cyber-Physical Systems: A Survey of Environmental Interactions, Deepfake Threats, and Defenses
by: Hatami, Mohsen, et al.
Published: (2026)

QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning
by: Mia, Md Jueal, et al.
Published: (2024)

Distributed Security: From Isolated Properties to Synergistic Trust
by: Xu, Minghui
Published: (2026)

SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
by: Zhao, Zhihui, et al.
Published: (2025)

Behavioral Analytics for Continuous Insider Threat Detection in Zero-Trust Architectures
by: Sarraf, Gaurav
Published: (2026)

A biologically Inspired Trust Model for Open Multi-Agent Systems that is Resilient to Rapid Performance Fluctuations
by: Lygizou, Zoi, et al.
Published: (2025)

Vouchsafe: A Zero-Infrastructure Capability Graph Model for Offline Identity and Trust
by: Kuri, Jay
Published: (2026)

Secure Cluster-Based Hierarchical Federated Learning in Vehicular Networks
by: HaghighiFard, M. Saeid, et al.
Published: (2025)

DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation
by: Herath, Charuka, et al.
Published: (2025)

Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification
by: Tanbhir, Gazi, et al.
Published: (2025)

Scalable and Adaptively Secure Any-Trust Distributed Key Generation and All-hands Checkpointing
by: Feng, Hanwen, et al.
Published: (2023)

CHRONOS: A Hardware-Assisted Phase-Decoupled Framework for Secure Federated Learning in IoT
by: Dang, Hung
Published: (2026)

A Sharded Blockchain-Based Secure Federated Learning Framework for LEO Satellite Networks
by: Wu, Wenbo, et al.
Published: (2024)

LiFeChain: Lightweight Blockchain for Secure and Efficient Federated Lifelong Learning in IoT
by: Chen, Handi, et al.
Published: (2025)