:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Rizvi, Syed Muhammad Aqdas
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language Cryptography and Security Distributed, Parallel, and Cluster Computing
Online Access:	https://arxiv.org/abs/2604.16913
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Centralized vs. Decentralized Security for Space AI Systems? A New Look
by: Schmitt, Noam, et al.
Published: (2025)

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

FedBGS: A Blockchain Approach to Segment Gossip Learning in Decentralized Systems
by: Turazza, Fabio, et al.
Published: (2026)

Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference
by: Angione, Claudio, et al.
Published: (2024)

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

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

Downsides of Smartness Across Edge-Cloud Continuum in Modern Industry
by: Chigullapally, Akhil Gupta, et al.
Published: (2026)

Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach
by: Husnoo, Muhammad Akbar, et al.
Published: (2024)

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

A Blockchain-based Traceability System for AI-Driven Engine Blade Inspection
by: Hafez, Mahmoud, et al.
Published: (2026)

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

AI-Based Crypto Tokens: The Illusion of Decentralized AI?
by: Mafrur, Rischan
Published: (2025)

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

Developing a Blockchain-Based Secure Digital Contents Distribution System
by: Qadri, Syed Mohiuddin, et al.
Published: (2025)

Noiseless Privacy-Preserving Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)

Byzantine Attacks Exploiting Penalties in Ethereum PoS
by: Pavloff, Ulysse, et al.
Published: (2024)

DBNode: A Decentralized Storage System for Big Data Storage in Consortium Blockchains
by: Dadkhah, Narges, et al.
Published: (2024)

PolyLink: A Blockchain Based Decentralized Edge AI Platform for LLM Inference
by: Liu, Hongbo, et al.
Published: (2025)

AIArena: A Blockchain-Based Decentralized AI Training Platform
by: Wang, Zhipeng, et al.
Published: (2024)

D2M: A Decentralized, Privacy-Preserving, Incentive-Compatible Data Marketplace for Collaborative Learning
by: Srivastava, Yash, et al.
Published: (2025)

Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
by: Alsulaimawi, Zahir
Published: (2024)

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

On-Chain Decentralized Learning and Cost-Effective Inference for DeFi Attack Mitigation
by: Alhaidari, Abdulrahman, et al.
Published: (2025)

Optimizing Privacy-Utility Trade-off in Decentralized Learning with Generalized Correlated Noise
by: Rodio, Angelo, et al.
Published: (2025)

PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
by: Hou, Charlie, et al.
Published: (2024)

When Speculation Spills Secrets: Side Channels via Speculative Decoding In LLMs
by: Wei, Jiankun, et al.
Published: (2024)

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

FEDSTR: Money-In AI-Out | A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol
by: Nikolakakis, Konstantinos E., et al.
Published: (2024)

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

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

DDoS Attacks in Cloud Computing: Detection and Prevention
by: Ahmad, Zain, 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)

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

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

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

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)

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

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