FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model
Fuente:
arXiv
Saved in:
| Main Authors: | Mia, Md Jueal, Amini, M. Hadi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning
by: Mia, Md Jueal, et al.
Published: (2024)
by: Mia, Md Jueal, et al.
Published: (2024)
An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications
by: Mia, Md Jueal, et al.
Published: (2025)
by: Mia, Md Jueal, et al.
Published: (2025)
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing
by: Moore, Ervin, et al.
Published: (2024)
by: Moore, Ervin, et al.
Published: (2024)
Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification
by: Tanbhir, Gazi, et al.
Published: (2025)
by: Tanbhir, Gazi, et al.
Published: (2025)
DarkFed: A Data-Free Backdoor Attack in Federated Learning
by: Li, Minghui, et al.
Published: (2024)
by: Li, Minghui, et al.
Published: (2024)
LLMSecCode: Evaluating Large Language Models for Secure Coding
by: Rydén, Anton, et al.
Published: (2024)
by: Rydén, Anton, et al.
Published: (2024)
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
by: Zhao, Zhihui, et al.
Published: (2025)
by: Zhao, Zhihui, et al.
Published: (2025)
FedGuard: A Diverse-Byzantine-Robust Mechanism for Federated Learning with Major Malicious Clients
by: Jiang, Haocheng, et al.
Published: (2025)
by: Jiang, Haocheng, et al.
Published: (2025)
SCALHEALTH: Scalable Blockchain Integration for Secure IoT Healthcare Systems
by: Mohammadi, Mehrzad, et al.
Published: (2024)
by: Mohammadi, Mehrzad, et al.
Published: (2024)
PipeLLM: Fast and Confidential Large Language Model Services with Speculative Pipelined Encryption
by: Tan, Yifan, et al.
Published: (2024)
by: Tan, Yifan, et al.
Published: (2024)
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection
by: Gayathri, R G, et al.
Published: (2024)
by: Gayathri, R G, et al.
Published: (2024)
SVAFD: A Secure and Verifiable Co-Aggregation Protocol for Federated Distillation
by: Wen, Tian, et al.
Published: (2025)
by: Wen, Tian, et al.
Published: (2025)
Future Mining: Learning for Safety and Security
by: Rahman, Md Sazedur, et al.
Published: (2026)
by: Rahman, Md Sazedur, et al.
Published: (2026)
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
by: Boitier, William, et al.
Published: (2024)
by: Boitier, William, et al.
Published: (2024)
Scalable and Adaptively Secure Any-Trust Distributed Key Generation and All-hands Checkpointing
by: Feng, Hanwen, et al.
Published: (2023)
by: Feng, Hanwen, et al.
Published: (2023)
LiteChain: A Lightweight Blockchain for Verifiable and Scalable Federated Learning in Massive Edge Networks
by: Chen, Handi, et al.
Published: (2025)
by: Chen, Handi, et al.
Published: (2025)
CHRONOS: A Hardware-Assisted Phase-Decoupled Framework for Secure Federated Learning in IoT
by: Dang, Hung
Published: (2026)
by: Dang, Hung
Published: (2026)
A Sharded Blockchain-Based Secure Federated Learning Framework for LEO Satellite Networks
by: Wu, Wenbo, et al.
Published: (2024)
by: Wu, Wenbo, et al.
Published: (2024)
Zero-Knowledge Proof-Based Consensus for Blockchain-Secured Federated Learning
by: Fu, Tianxing, et al.
Published: (2025)
by: Fu, Tianxing, et al.
Published: (2025)
SHE-LoRA: Selective Homomorphic Encryption for Federated Tuning with Heterogeneous LoRA
by: Liu, Jianmin, et al.
Published: (2025)
by: Liu, Jianmin, et al.
Published: (2025)
LiFeChain: Lightweight Blockchain for Secure and Efficient Federated Lifelong Learning in IoT
by: Chen, Handi, et al.
Published: (2025)
by: Chen, Handi, et al.
Published: (2025)
ACCESS-FL: Agile Communication and Computation for Efficient Secure Aggregation in Stable Federated Learning Networks
by: Nazemi, Niousha, et al.
Published: (2024)
by: Nazemi, Niousha, et al.
Published: (2024)
FedCert: Federated Accuracy Certification
by: Nguyen, Minh Hieu, et al.
Published: (2024)
by: Nguyen, Minh Hieu, et al.
Published: (2024)
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
by: Park, Jong-Ik, et al.
Published: (2024)
by: Park, Jong-Ik, et al.
Published: (2024)
A Range-Based Sharding (RBS) Protocol for Scalable Enterprise Blockchain
by: Haider, M. Z., et al.
Published: (2025)
by: Haider, M. Z., et al.
Published: (2025)
When Quantum Federated Learning Meets Blockchain in 6G Networks
by: Nguyen, Dinh C., et al.
Published: (2025)
by: Nguyen, Dinh C., et al.
Published: (2025)
Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures
by: Hossain, Md Tamjid, et al.
Published: (2022)
by: Hossain, Md Tamjid, et al.
Published: (2022)
Securing Proof of Stake Blockchains: Leveraging Multi-Agent Reinforcement Learning for Detecting and Mitigating Malicious Nodes
by: Bappy, Faisal Haque, et al.
Published: (2024)
by: Bappy, Faisal Haque, et al.
Published: (2024)
Cloud Security and Security Challenges Revisited
by: Süß, Fabian, et al.
Published: (2024)
by: Süß, Fabian, et al.
Published: (2024)
Securing LLM-as-a-Service for Small Businesses: An Industry Case Study of a Distributed Chatbot Deployment Platform
by: Xie, Jiazhu, et al.
Published: (2026)
by: Xie, Jiazhu, et al.
Published: (2026)
Fine-Tuning Large Language Models with User-Level Differential Privacy
by: Charles, Zachary, et al.
Published: (2024)
by: Charles, Zachary, et al.
Published: (2024)
Prisec II -- A Comprehensive Model for IoT Security: Cryptographic Algorithms and Cloud Integration
by: Costa, Pedro, et al.
Published: (2024)
by: Costa, Pedro, et al.
Published: (2024)
LogStamping: A blockchain-based log auditing approach for large-scale systems
by: Islam, Md Shariful, et al.
Published: (2025)
by: Islam, Md Shariful, et al.
Published: (2025)
A Hierarchical Security Events Correlation Model for Real-time Cyber Threat Detection and Response
by: Maosa, Herbert, et al.
Published: (2023)
by: Maosa, Herbert, et al.
Published: (2023)
SeSeMI: Secure Serverless Model Inference on Sensitive Data
by: Hu, Guoyu, et al.
Published: (2024)
by: Hu, Guoyu, et al.
Published: (2024)
SECO: Secure Inference With Model Splitting Across Multi-Server Hierarchy
by: Chen, Shuangyi, et al.
Published: (2024)
by: Chen, Shuangyi, et al.
Published: (2024)
A Secure and Privacy-Friendly Logging Scheme
by: Aßmuth, Andreas, et al.
Published: (2024)
by: Aßmuth, Andreas, et al.
Published: (2024)
CoVault: A Secure Analytics Platform
by: De Viti, Roberta, et al.
Published: (2022)
by: De Viti, Roberta, et al.
Published: (2022)
Sequencer Level Security
by: Derka, Martin, et al.
Published: (2024)
by: Derka, Martin, et al.
Published: (2024)
Kumo: A Security-Focused Serverless Cloud Simulator
by: Shao, Wei, et al.
Published: (2026)
by: Shao, Wei, et al.
Published: (2026)
Similar Items
-
QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning
by: Mia, Md Jueal, et al.
Published: (2024) -
An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications
by: Mia, Md Jueal, et al.
Published: (2025) -
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing
by: Moore, Ervin, et al.
Published: (2024) -
Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification
by: Tanbhir, Gazi, et al.
Published: (2025) -
DarkFed: A Data-Free Backdoor Attack in Federated Learning
by: Li, Minghui, et al.
Published: (2024)