DecFL: An Ubiquitous Decentralized Model Training Protocol and Framework Empowered by Blockchain

Morsbach, Felix; Toor, Salman

doi:10.1145/3457337.3457842

Proceedings of the 3rd ACM International Symposium on Blockchain and Secure Critical Infrastructure 2021

DOI: 10.1145/3457337.3457842

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DecFL: An Ubiquitous Decentralized Model Training Protocol and Framework Empowered by Blockchain

Felix Morsbach

Salman Toor

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2023

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FeLebrities: A User-Centric Assessment of Federated Learning Frameworks

Riviera,

Galazzo,

Menegaz

2023

IEEE Access

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Federated Learning (FL) is a new paradigm aiming to solve the data access problem. It provides a solution by moving the focus from sharing data to sharing models. The FL paradigm involves different entities (institutions) holding proprietary datasets, contributing with each other to train a global Artificial Intelligence (AI) model using their own locally available data. Although several studies propose ways to distribute the computation or aggregate results, fewer efforts have been made on how to implement FL pipelines. With the ambition of helping accelerate the exploitation of FL frameworks, this paper proposes a survey of public tools that are currently available for building FL pipelines, an objective ranking based on the current state of user preferences, and the assessment of the growing trend of the tool's popularity over a one year time window, with measurements performed every six months. These measurements include objective metrics, like the number of "Watch," "Star" and "Follow" available from software repositories as well as thirteen custom metrics grouped into three main categories: Usability, Portability, and Flexibility. Finally, a ranking of the maturity of the tools is derived based on key aspects to consider when building a FL pipeline.INDEX TERMS Federated Learning tools, Distributed systems, AI at scale.

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FeLebrities: A User-Centric Assessment of Federated Learning Frameworks

Riviera,

Galazzo,

Menegaz

2023

IEEE Access

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DecFL: An Ubiquitous Decentralized Model Training Protocol and Framework Empowered by Blockchain

Cited by 1 publication

References 14 publications

FeLebrities: A User-Centric Assessment of Federated Learning Frameworks

FeLebrities: A User-Centric Assessment of Federated Learning Frameworks

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