第三届区块链和分布式账本智能数据国际研讨会(SDBD2021):与SIGKDD 2021信任日联合研讨会

Feida Zhu, Jian Pei
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引用次数: 0

摘要

当今计算的特点是日益复杂、全面和协作。这种复杂性可以通过巨大模型的广泛应用来观察,这些模型具有大量的参数和前所未有的复杂程度的结构。数据在格式和来源方面的高度异质性最好地说明了这种综合性。最后,当计算系统变得更加开放和分散时,协作成为一个明显的趋势,其中各种实体相互作用,以实现具有潜在恶意行为的集体智能。因此,信任在多个层面变得至关重要:在模型层面确保其完整性、公平性和可解释性;在数据层面保障数据质量、合规性和隐私;在系统层面管理弹性、绩效和激励。此外,信任的概念早已在学术界和产业界的不同领域进行了讨论,并有不同的定义和理解。第三届区块链与分布式账本智能数据国际研讨会(SDBD’21)将与KDD 2021“信任日”特别主题联合举办,旨在汇集各界研究人员、从业者和专家,在“信任”这一广泛主题下,以高度跨学科的方式交流和探讨思想、前沿、机遇和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Third International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD2021): Joint Workshop with SIGKDD 2021 Trust Day
Today's computing is characterized by an increasing degree of complexity, comprehensiveness and collaboration. The complexity can be observed by the wide application of gigantic models with a huge number of parameters and structures of an unprecedented level of sophistication. The comprehensiveness is best illustrated by the high heterogeneity of data both in terms of format and source. The collaboration, finally, becomes an obvious trend when computing systems grow more open and decentralized in which various entities interact to achieve collective intelligence with the presence of potentially malicious behavior. Trust, therefore, has become critical at multiple levels: At model level to assure its integrity, fairness and interpretability; At data level to safeguard data quality, compliance and privacy; At system level to govern resilience, performance and incentive. Moreover, the notion of trust has long been discussed in different domains in both academia and industry with different definition and understanding. The Third International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD'21) will be held as a joint workshop with the special-themed "Trust Day" of KDD 2021, which has therefore aimed to bring together researchers, practitioners and experts from various communities to exchange and explore ideas, frontiers, opportunities and challenges under the broad theme of "trust" in a highly interdisciplinary manner.
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