A Layer-2 Expansion Shared Sequencer Model for Blockchain Scalability
Rollup stands out as one of the most effective techniques for blockchain Layer-2 scaling. By processing transactions off-chain, it significantly enhances throughput. However, the predominant Rollup implementations currently rely on centralized sequencers, exposing the system and users to censorship attacks and risking network paralysis. While fully decentralized sequencers encounter latency issues and reduced throughput during the consensus phase. We propose a multi-slot weighted leader election algorithm based on shared sequencers, apply the Proposer-Builder Separation (PBS) model, and use the Fuzzy Cognitive Map (FCM) to analyze and optimize the important influence parameters. With its low trust dependence and high functionality, the probability of selecting malicious nodes is reduced. The sequencing and consensus are separated, so that the transaction can quickly reach soft confirmation. We implement this algorithm in a shared sequencer prototype. The experimental results show that the proposed algorithm parameter settings are in line with expectations, and the probability of electing malicious nodes is significantly reduced. The TPS of the network can cope with the throughput requirements of the Layer-2.
Sat 27 JulDisplayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change
15:15 - 16:30 | Session 6 - Federated Learning & MiscResearch Track at The ballroom B Chair(s): Jingyue Li Norwegian University of Science and Technology (NTNU) | ||
15:30 15mPaper | Research and Development Assessment of Blockchain Standardization Research Track Qi Zhang China Academy of Information and Communications Technology, Weiwei Pang China Academy of Information and Communications Technology, Chunyu Jiang China Academy of Information and Communications Technology, Yang Cheng China Academy of Information and Communications Technology, Bin Liu China Academy of Information and Communications Technology, Lifeng Zhang China Academy of Information and Communications Technology, Liu tingting China Academy of Information and Communications Technology | ||
15:45 15mPaper | Private, Atomic, Incentive mechanism for Federated Learning based on Blockchain Research Track Kejia Chen Zhejiang University, Jiawen Zhang Zhejiang University, Xuanming Liu Zhejiang University, Zunlei Feng Zhejiang University, Xiaohu Yang Zhejiang University | ||
16:00 15mPaper | A Layer-2 Expansion Shared Sequencer Model for Blockchain Scalability Research Track Huijian Han School of Computer Science and Technology, Shandong University of Finance and Economics, Mingwei Wang School of Computer Science and Technology, Shandong University of Finance and Economics, Feng Yang School of Computer Science and Technology, Shandong University of Finance and Economics, Linpeng Jia Institute of Computing Technology, Chinese Academy of Sciences, Yi Sun Chinese Academy of Sciences, Rui Zhang School of Computer Science and Technology, Shandong University of Finance and Economics | ||
16:15 15mPaper | Unlocking Potential of Open Source Model Training in Decentralized Federated Learning Environment Research Track Ekaterina Pavlova Skolkovo Institute of Science and Technology, Grigorii Melnikov B4B.World, Yury Yanovich Skolkovo Institute of Science and Technology; Faculty of Computer Science, HSE University, Alexey Frolov Skolkovo Institute of Science and Technology | ||