:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ivanov, Dan, Freiberg, Tristan, Shahabi, Shirin, Gold, Jonathan, Isah, Haruna
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Cryptography and Security Distributed, Parallel, and Cluster Computing Machine Learning
Online Access:	https://arxiv.org/abs/2508.06972
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

JSTprove: Pioneering Verifiable AI for a Trustless Future
by: Gold, Jonathan, et al.
Published: (2025)

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)

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

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)

Celtibero: Robust Layered Aggregation for Federated Learning
by: Molina-Coronado, Borja
Published: (2024)

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

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

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

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

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

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

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

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

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

Privacy-Preserving Feature Valuation in Vertical Federated Learning Using Shapley-CMI and PSI Permutation
by: Laskurain, Unai, et al.
Published: (2025)

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

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

Private Knowledge Sharing in Distributed Learning: A Survey
by: Supeksala, Yasas, et al.
Published: (2024)

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

FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph Enhancement
by: Yao, Dezhong, et al.
Published: (2024)

LOGSAFE: Logic-Guided Verification for Trustworthy Federated Time-Series Learning
by: Nguyen, Dung Thuy, et al.
Published: (2024)

Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach
by: Zuo, Xuhan, et al.
Published: (2024)

Distributed Non-Interactive Zero-Knowledge Proofs
by: Grilo, Alex B., et al.
Published: (2025)

Binary Linear Tree Commitment-based Ownership Protection for Distributed Machine Learning
by: Xie, Tianxiu, et al.
Published: (2024)

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

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

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

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

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

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

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

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

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

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

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

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

Proof of Response
by: Polosukhin, Illia, et al.
Published: (2025)

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

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