Image de couverture de livre

Optimization-based Proof of Useful Work: Framework, Modeling, and Security Analysis

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cao, Weihang, Ling, Xintong, Wang, Jiaheng, Gao, Xiqi, Ding, Zhi
Format:	Preprint
Publié:	2024
Sujets:	Distributed, Parallel, and Cluster Computing
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

BagChain: A Dual-functional Blockchain Leveraging Bagging-based Distributed Learning
par: Cui, Zixiang, et autres
Publié: (2025)

SEDULity: A Proof-of-Learning Framework for Distributed and Secure Blockchains with Efficient Useful Work
par: Cao, Weihang, et autres
Publié: (2025)

On Replacing Cryptopuzzles with Useful Computation in Blockchain Proof-of-Work Protocols
par: Merlina, Andrea, et autres
Publié: (2024)

Interactive Visualization of Proof-of-Work Consensus Protocol on Raspberry Pi
par: Ivashkevich, Anton, et autres
Publié: (2025)

When MoE Meets Blockchain: A Trustworthy Distributed Framework of Large Models
par: Zhu, Weihao, et autres
Publié: (2025)

SHARE: Optimizing Secure Hub Allocation and Routing Efficiency in Payment Channel Networks
par: Yang, Lingxiao, et autres
Publié: (2025)

From Patchwork to Network: A Comprehensive Framework for Demand Analysis and Fleet Optimization of Urban Air Mobility
par: Jiang, Xuan, et autres
Publié: (2025)

SAGkit: A Python SAG Toolkit for Response Time Analysis of Hybrid-Triggered Jobs
par: Cao, Ruide, et autres
Publié: (2025)

SealOS+: A Sealos-based Approach for Adaptive Resource Optimization Under Dynamic Workloads for Securities Trading System
par: Jia, Haojie, et autres
Publié: (2025)

Robustness of Proof of Team Sprint (PoTS) Against Attacks: A Simulation-Based Analysis
par: Yonezawa, Naoki
Publié: (2025)

Analysis and Optimization of Wireless Multimodal Federated Learning on Modal Heterogeneity
par: Han, Xuefeng, et autres
Publié: (2025)

Zero-Knowledge Proof-Based Consensus for Blockchain-Secured Federated Learning
par: Fu, Tianxing, et autres
Publié: (2025)

Colorless Tasks and Extension-Based Proofs
par: Shi, Yusong, et autres
Publié: (2023)

An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications
par: Mia, Md Jueal, et autres
Publié: (2025)

Optimizing Communication in Byzantine Agreement Protocols with Slim-HBBFT
par: Sony, Nasit S, et autres
Publié: (2025)

Empirical Evaluation and Scalability Analysis of Proof of Team Sprint (PoTS): Reward Fairness, Energy Efficiency, and System Stability
par: Yonezawa, Naoki
Publié: (2025)

Efficient and Secure Sleepy Model for BFT Consensus
par: Ren, Pengkun, et autres
Publié: (2025)

Diagonal Scaling: A Multi-Dimensional Resource Model and Optimization Framework for Distributed Databases
par: Abdullah, Shahir, et autres
Publié: (2025)

Stone Duality Proofs for Colorless Distributed Computability Theorems
par: Calk, Cameron, et autres
Publié: (2025)

Distributed Statistical Zero-Knowledge Proofs via Sumcheck
par: Jauregui, Benjamin, et autres
Publié: (2026)

Slim-ABC: An Optimized Atomic Broadcast Protocol
par: Sony, Nasit S, et autres
Publié: (2024)

SparseMap: Loop Mapping for Sparse CNNs on Streaming Coarse-grained Reconfigurable Array
par: Ni, Xiaobing, et autres
Publié: (2024)

Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
par: Luo, Jiajun, et autres
Publié: (2024)

PATCHEDSERVE: A Patch Management Framework for SLO-Optimized Hybrid Resolution Diffusion Serving
par: Sun, Desen, et autres
Publié: (2025)

Mining Area Skyline Objects from Map-based Big Data using Apache Spark Framework
par: Li, Chen, et autres
Publié: (2024)

APoW: Auditable Proof-of-Work Against Block Withholding Attacks
par: Lerner, Sergio Demian
Publié: (2026)

MOPAR: A Model Partitioning Framework for Deep Learning Inference Services on Serverless Platforms
par: Duan, Jiaang, et autres
Publié: (2024)

Proof-of-Behavior: Behavior-Driven Consensus for Trustworthy Decentralized Finance
par: Borjigin, Ailiya, et autres
Publié: (2025)

Proof of Commitment: A Human-Centric Resource for Permissionless Consensus
par: Maleki, Homayoun, et autres
Publié: (2026)

TDC-Cache: A Trustworthy Decentralized Cooperative Caching Framework for Web3.0
par: Chen, Jinyu, et autres
Publié: (2025)

MoLink: Distributed and Efficient Serving Framework for Large Models
par: Jin, Lewei, et autres
Publié: (2025)

A High-throughput and Secure Coded Blockchain for IoT
par: Taherpour, Amirhossein, et autres
Publié: (2023)

LLM-CoOpt: A Co-Design and Optimization Framework for Efficient LLM Inference on Heterogeneous Platforms
par: Kong, Jie, et autres
Publié: (2026)

Collaborative Proof-of-Work: A Secure Dynamic Approach to Fair and Efficient Blockchain Mining
par: Haque, Rizwanul, et autres
Publié: (2024)

Distributed Locking: Performance Analysis and Optimization Strategies
par: Rodriguez, Andre, et autres
Publié: (2025)

Proof-Carrying Fair Ordering: Asymmetric Verification for BFT via Incremental Graphs
par: Ren, Pengkun, et autres
Publié: (2025)

Distributed Consensus Network: A Modularized Communication Framework and Reliability Probabilistic Analysis
par: Li, Yuetai, et autres
Publié: (2025)

PHWSOA: A Pareto-based Hybrid Whale-Seagull Scheduling for Multi-Objective Tasks in Cloud Computing
par: Zhao, Zhi, et autres
Publié: (2025)

AMECOS: A Modular Event-based Framework for Concurrent Object Specification
par: Albouy, Timothé, et autres
Publié: (2024)

Efficient Multi-Worker Selection based Distributed Swarm Learning via Analog Aggregation
par: Yao, Zhuoyu, et autres
Publié: (2025)