Imagen de Portada

Design and implementation of a distributed security threat detection system integrating federated learning and multimodal LLM

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Yuqing, Yang, Xiao
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security Artificial Intelligence Distributed, Parallel, and Cluster Computing Performance
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Experimentally validated quantum-secure federated learning over a multi-user quantum network
por: Liu, Zhi-Ping, et al.
Publicado: (2025)

SoK: Concurrency in Blockchain -- A Systematic Literature Review and the Unveiling of a Misconception
por: Chahoki, Atefeh Zareh, et al.
Publicado: (2025)

Comments on "Federated Learning with Differential Privacy: Algorithms and Performance Analysis"
por: Talaei, Mahtab, et al.
Publicado: (2024)

RepuNet: A Reputation System for Mitigating Malicious Clients in DFL
por: Penalva, Isaac Marroqui, et al.
Publicado: (2025)

parHSOM: A novel parallel Hierarchical Self-Organizing Map implementation
por: Lane, Rebekah, et al.
Publicado: (2026)

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

Evaluating the Potential of In-Memory Processing to Accelerate Homomorphic Encryption
por: Mwaisela, Mpoki, et al.
Publicado: (2024)

Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs
por: Ferguson, Aidan, et al.
Publicado: (2025)

ZKProphet: Understanding Performance of Zero-Knowledge Proofs on GPUs
por: Verma, Tarunesh, et al.
Publicado: (2025)

An Adaptive Differential Privacy Method Based on Federated Learning
por: Wang, Zhiqiang, et al.
Publicado: (2024)

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

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

Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges
por: Nguyen, Linh T., et al.
Publicado: (2023)

Secure Autonomous Agent Payments: Verifying Authenticity and Intent in a Trustless Environment
por: Acharya, Vivek
Publicado: (2025)

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

DDoS Attacks in Cloud Computing: Detection and Prevention
por: Ahmad, Zain, et al.
Publicado: (2025)

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

HearthNet: Edge Multi-Agent Orchestration for Smart Homes
por: Zhan, Zhonghao, et al.
Publicado: (2026)

IslandRun: Privacy-Aware Multi-Objective Orchestration for Distributed AI Inference
por: Malepati, Bala Siva Sai Akhil
Publicado: (2025)

Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids
por: Agha, Bochra Al, et al.
Publicado: (2025)

Vocabulary Attack to Hijack Large Language Model Applications
por: Levi, Patrick, et al.
Publicado: (2024)

Malware Detection at the Edge with Lightweight LLMs: A Performance Evaluation
por: Rondanini, Christian, et al.
Publicado: (2025)

AMP: A Vendor-Neutral Wire Format for Agent Memory Operations
por: Munirathinam, Thamilvendhan
Publicado: (2026)

Graph of Effort: Quantifying Risk of AI Usage for Vulnerability Assessment
por: Mehra, Anket, et al.
Publicado: (2025)

AEGIS: Scaling Long-Sequence Homomorphic Encrypted Transformer Inference via Hybrid Parallelism on Multi-GPU Systems
por: Gong, Zhaoting, et al.
Publicado: (2026)

SoK: A Systematic Bidirectional Literature Review of AI & DLT Convergence
por: Kathia, Ali Irzam, et al.
Publicado: (2026)

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

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

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

Proof of Response
por: Polosukhin, Illia, et al.
Publicado: (2025)

CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment
por: Li, Qinfeng, et al.
Publicado: (2024)

A Review on Building Blocks of Decentralized Artificial Intelligence
por: Kersic, Vid, et al.
Publicado: (2024)

Byzantine-Robust Federated Learning Using Generative Adversarial Networks
por: Zafar, Usama, et al.
Publicado: (2025)

InfoDecom: Decomposing Information for Defending Against Privacy Leakage in Split Inference
por: Deng, Ruijun, et al.
Publicado: (2025)

SenseCrypt: Sensitivity-guided Selective Homomorphic Encryption for Joint Federated Learning in Cross-Device Scenarios
por: Li, Borui, et al.
Publicado: (2025)

LoRA-based Parameter-Efficient LLMs for Continuous Learning in Edge-based Malware Detection
por: Rondanini, Christian, et al.
Publicado: (2026)

BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
por: Dao, Thinh, et al.
Publicado: (2025)

Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics
por: Geng, Jiaxiang, et al.
Publicado: (2024)

Automatic Adjustment of HPA Parameters and Attack Prevention in Kubernetes Using Random Forests
por: Zhou, Hanlin, et al.
Publicado: (2026)

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