Zobrazeno 1 - 10
of 180 143
pro vyhledávání: '"Layer 2"'
Autor:
Liao, Guofu, Wang, Taotao, Yang, Qing, Xia, Yihan, Shi, Long, Zhao, Xiang, Wu, Xiaoxiao, Zhang, Shengli, Chan, Anthony, Yuen, Richard
This paper surveys innovative protocols that enhance the programming functionality of the Bitcoin blockchain, a key part of the "Bitcoin Ecosystem." Bitcoin utilizes the Unspent Transaction Output (UTXO) model and a stack-based script language for ef
Externí odkaz:
http://arxiv.org/abs/2409.19622
Bitcoin rise has put blockchain technology into the mainstream, amplifying its potential and broad utility. While Bitcoin has become incredibly famous, its transaction rate has not match such a corresponding increase. It still takes approximately 10
Externí odkaz:
http://arxiv.org/abs/2406.13855
Autor:
Adarbah, Haitham Y.1 (AUTHOR) haitham.adarbah@tamuk.edu, Kiraz, Mehmet Sabir2 (AUTHOR) alihmohd@dmu.ac.uk, Kardas, Suleyman3 (AUTHOR) haitham.adarbah@tamuk.edu, Al-Bayatti, Ali H.2 (AUTHOR), Al-Bayatti, Hilal M. Y.4 (AUTHOR) dr.hilal@asu.edu.bh
Publikováno v:
Future Internet. Sep2024, Vol. 16 Issue 9, p328. 20p.
Autor:
Saif, Muhammad Bin1 (AUTHOR), Migliorini, Sara1 (AUTHOR) sara.migliorini@univr.it, Spoto, Fausto1 (AUTHOR)
Publikováno v:
Future Internet. Sep2024, Vol. 16 Issue 9, p315. 16p.
Data Availability and Decentralization: New Techniques for zk-Rollups in Layer 2 Blockchain Networks
The scalability limitations of public blockchains have hindered their widespread adoption in real-world applications. While the Ethereum community is pushing forward in zk-rollup (zero-knowledge rollup) solutions, such as introducing the ``blob trans
Externí odkaz:
http://arxiv.org/abs/2403.10828
Autor:
Adams, Austin
This paper studies the market structure impact of cheaper and faster chains on the Uniswap v3 Protocol. The Uniswap Protocol is the largest decentralized application on Ethereum by both gas and blockspace used, and user behaviors of the protocol are
Externí odkaz:
http://arxiv.org/abs/2403.09494
In this study, we identify the inefficient attention phenomena in Large Vision-Language Models (LVLMs), notably within prominent models like LLaVA-1.5, QwenVL-Chat and Video-LLaVA. We find out that the attention computation over visual tokens is of e
Externí odkaz:
http://arxiv.org/abs/2403.06764
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.