Image de couverture de livre

Detecting Rug Pulls in Decentralized Exchanges: Machine Learning Evidence from the TON Blockchain

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yaremus, Dmitry, Li, Jianghai, Kalacheva, Alisa, Vodolazov, Igor, Yanovich, Yury
Format:	Preprint
Publié:	2025
Sujets:	Distributed, Parallel, and Cluster Computing Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

DIT: Dimension Reduction View on Optimal NFT Rarity Meters
par: Belousov, Dmitry, et autres
Publié: (2025)

The Bidding Games: Reinforcement Learning for MEV Extraction on Polygon Blockchain
par: Seoev, Andrei, et autres
Publié: (2025)

BugMagnifier: TON Transaction Simulator for Revealing Smart Contract Vulnerabilities
par: Yanovich, Yury, et autres
Publié: (2025)

The Kosmosis Use-Case of Crypto Rug Pull Detection and Prevention
par: Stangl, Philipp, et autres
Publié: (2024)

Spectral Sentinel: Scalable Byzantine-Robust Decentralized Federated Learning via Sketched Random Matrix Theory on Blockchain
par: Mishra, Animesh
Publié: (2025)

Dynamic Fee for Reducing Impermanent Loss in Decentralized Exchanges
par: Lebedeva, Irina, et autres
Publié: (2025)

Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine
par: Chen, Canyi, et autres
Publié: (2025)

Decentralized Learning Made Easy with DecentralizePy
par: Dhasade, Akash, et autres
Publié: (2023)

Fair Decentralized Learning
par: Biswas, Sayan, et autres
Publié: (2024)

Blockchain-Enabled Federated Learning
par: Rangwala, Murtaza, et autres
Publié: (2025)

Deterministic Bounds in Committee Selection: Enhancing Decentralization and Scalability in Distributed Ledgers
par: Melnikov, Grigorii, et autres
Publié: (2024)

Decentralized Federated Learning with Model Caching on Mobile Agents
par: Wang, Xiaoyu, et autres
Publié: (2024)

Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates
par: Xiong, Guojun, et autres
Publié: (2023)

Low-Cost Privacy-Preserving Decentralized Learning
par: Biswas, Sayan, et autres
Publié: (2024)

Get More for Less in Decentralized Learning Systems
par: Dhasade, Akash, et autres
Publié: (2023)

Blockchain-based Framework for Scalable and Incentivized Federated Learning
par: Wu, Bijun, et autres
Publié: (2025)

Robust Decentralized Learning with Local Updates and Gradient Tracking
par: Ghiasvand, Sajjad, et autres
Publié: (2024)

Energy-Aware Decentralized Learning with Intermittent Model Training
par: Dhasade, Akash, et autres
Publié: (2024)

Protocol Learning, Decentralized Frontier Risk and the No-Off Problem
par: Long, Alexander
Publié: (2024)

Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data
par: Aketi, Sai Aparna, et autres
Publié: (2024)

FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
par: Huang, Jianjun, et autres
Publié: (2024)

Enhancing Split Learning with Sharded and Blockchain-Enabled SplitFed Approaches
par: Sokhankhosh, Amirreza, et autres
Publié: (2025)

DIGEST: Fast and Communication Efficient Decentralized Learning with Local Updates
par: Gholami, Peyman, et autres
Publié: (2023)

Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning
par: Guo, Shunxin, et autres
Publié: (2025)

Dynamic Topology Optimization for Non-IID Data in Decentralized Learning
par: Cox, Bart, et autres
Publié: (2026)

S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning
par: Sánchez, Pedro Miguel Sánchez, et autres
Publié: (2025)

Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices
par: Pan, Qiying, et autres
Publié: (2023)

Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
par: Zehtabi, Shahryar, et autres
Publié: (2024)

Demo: A Practical Testbed for Decentralized Federated Learning on Physical Edge Devices
par: Feng, Chao, et autres
Publié: (2025)

Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation
par: Colosi, Mario, et autres
Publié: (2025)

CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning
par: Tastan, Nurbek, et autres
Publié: (2025)

Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT
par: Rangwala, Murtaza, et autres
Publié: (2025)

Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning
par: Ravikumar, Deepak, et autres
Publié: (2023)

\mathsf{VISTA}: Decentralized Machine Learning in Adversary Dominated Environments
par: Nodehi, Hanzaleh Akbari, et autres
Publié: (2026)

Fast Decentralized Gradient Tracking for Federated Minimax Optimization with Local Updates
par: Li, Chris Junchi
Publié: (2024)

Convergence Analysis of Decentralized ASGD
par: Tosi, Mauro DL, et autres
Publié: (2023)

The Origins of MEV: Systematic Attribution of Arbitrage Opportunity Creation at Scale
par: Seoev, Andrei, et autres
Publié: (2026)

Key-Embedded Privacy for Decentralized AI in Biomedical Omics
par: Zhang, Rongyu, et autres
Publié: (2026)

Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity
par: Ye, Haoxiang, et autres
Publié: (2025)

Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs
par: Bouchiha, Mouhamed Amine, et autres
Publié: (2026)