Distributed Trust Through the Lens of Software Architecture
Not on the map. Why?
Abstract (arXiv)
Distributed trust is a nebulous concept that has evolved from different perspectives in recent years. While one can attribute its current prominence to blockchain and cryptocurrency, the distributed trust concept has been cultivating progress in federated learning, trustworthy and responsible AI in an ecosystem setting, data sharing, privacy issues across organizational boundaries, and zero trust cybersecurity. This paper will survey the concept of distributed trust in multiple disciplines. It will take a system/software architecture point of view to look at trust redistribution/shift and the associated tradeoffs in systems and applications enabled by distributed trust technologies.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 13 of its 57 references that are in the map. First posted on arXiv 25 May 2023.
Builds on
13 of 57 references.
References · 13
- 2021Architectural Patterns for the Design of Federated Learning Systemscited by 17
- 2023IronForge: An Open, Secure, Fair, Decentralized Federated Learningcited by 15
- 2021FLRA: A Reference Architecture for Federated Learning Systemscited by 9
- 2021Software Engineering for Responsible AI: An Empirical Study and Operationalised Patternscited by 9
- 2021A Systematic Literature Review on Blockchain Governancecited by 4
- 2022Responsible-AI-by-Design: a Pattern Collection for Designing Responsible AI Systemscited by 4
- 2022An Empirical Study on Snapshot DAOscited by 3
- 2022A Pattern Language for Blockchain Governancecited by 2
- 2022Leveraging Architectural Approaches in Web3 Applications -- A DAO Perspective Focusedcited by 2
- 2019Patterns for Blockchain Data Migrationcited by 1
- 2020Design Patterns for Blockchain-based Self-Sovereign Identitycited by 1
- 2021Patterns for Blockchain-Based Payment Applicationscited by 1
1 more
Built on by
Not cited yet.