:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yaremus, Dmitry, Li, Jianghai, Kalacheva, Alisa, Vodolazov, Igor, Yanovich, Yury
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Machine Learning
Online Access:	https://arxiv.org/abs/2509.01168
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DIT: Dimension Reduction View on Optimal NFT Rarity Meters
by: Belousov, Dmitry, et al.
Published: (2025)

The Bidding Games: Reinforcement Learning for MEV Extraction on Polygon Blockchain
by: Seoev, Andrei, et al.
Published: (2025)

BugMagnifier: TON Transaction Simulator for Revealing Smart Contract Vulnerabilities
by: Yanovich, Yury, et al.
Published: (2025)

Dynamic Fee for Reducing Impermanent Loss in Decentralized Exchanges
by: Lebedeva, Irina, et al.
Published: (2025)

The Kosmosis Use-Case of Crypto Rug Pull Detection and Prevention
by: Stangl, Philipp, et al.
Published: (2024)

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

Deterministic Bounds in Committee Selection: Enhancing Decentralization and Scalability in Distributed Ledgers
by: Melnikov, Grigorii, et al.
Published: (2024)

Decentralized Learning Made Easy with DecentralizePy
by: Dhasade, Akash, et al.
Published: (2023)

Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine
by: Chen, Canyi, et al.
Published: (2025)

Fair Decentralized Learning
by: Biswas, Sayan, et al.
Published: (2024)

Blockchain-Enabled Federated Learning
by: Rangwala, Murtaza, et al.
Published: (2025)

Decentralized Federated Learning with Model Caching on Mobile Agents
by: Wang, Xiaoyu, et al.
Published: (2024)

Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates
by: Xiong, Guojun, et al.
Published: (2023)

Blockchain-based Framework for Scalable and Incentivized Federated Learning
by: Wu, Bijun, et al.
Published: (2025)

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

Get More for Less in Decentralized Learning Systems
by: Dhasade, Akash, et al.
Published: (2023)

Robust Decentralized Learning with Local Updates and Gradient Tracking
by: Ghiasvand, Sajjad, et al.
Published: (2024)

Energy-Aware Decentralized Learning with Intermittent Model Training
by: Dhasade, Akash, et al.
Published: (2024)

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

Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data
by: Aketi, Sai Aparna, et al.
Published: (2024)

FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
by: Huang, Jianjun, et al.
Published: (2024)

Enhancing Split Learning with Sharded and Blockchain-Enabled SplitFed Approaches
by: Sokhankhosh, Amirreza, et al.
Published: (2025)

The Origins of MEV: Systematic Attribution of Arbitrage Opportunity Creation at Scale
by: Seoev, Andrei, et al.
Published: (2026)

DIGEST: Fast and Communication Efficient Decentralized Learning with Local Updates
by: Gholami, Peyman, et al.
Published: (2023)

Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning
by: Guo, Shunxin, et al.
Published: (2025)

Dynamic Topology Optimization for Non-IID Data in Decentralized Learning
by: Cox, Bart, et al.
Published: (2026)

\mathsf{VISTA}: Decentralized Machine Learning in Adversary Dominated Environments
by: Nodehi, Hanzaleh Akbari, et al.
Published: (2026)

S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning
by: Sánchez, Pedro Miguel Sánchez, et al.
Published: (2025)

Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices
by: Pan, Qiying, et al.
Published: (2023)

Convergence Analysis of Decentralized ASGD
by: Tosi, Mauro DL, et al.
Published: (2023)

Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
by: Zehtabi, Shahryar, et al.
Published: (2024)

Demo: A Practical Testbed for Decentralized Federated Learning on Physical Edge Devices
by: Feng, Chao, et al.
Published: (2025)

Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation
by: Colosi, Mario, et al.
Published: (2025)

CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning
by: Tastan, Nurbek, et al.
Published: (2025)

Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT
by: Rangwala, Murtaza, et al.
Published: (2025)

Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning
by: Ravikumar, Deepak, et al.
Published: (2023)

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

Key-Embedded Privacy for Decentralized AI in Biomedical Omics
by: Zhang, Rongyu, et al.
Published: (2026)

Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity
by: Ye, Haoxiang, et al.
Published: (2025)

Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs
by: Bouchiha, Mouhamed Amine, et al.
Published: (2026)