arXiv AI By Bruno Ramos-Cruz, Javier Andreu-Perez, David Richerby, Luis Mart\'inez

A Framework for Reputation Aware Uninorm-driven Consensus Algorithms for Blockchain Networks

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arXiv:2607. 20700v1 Announce Type: cross Abstract: The operation of blockchain is governed by consensus algorithms (CA).

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arXiv AI
Oct 12

DeFiRank: Federated Pairwise Ranking for Governance in Decentralized Financial Networks

DeFiRank is a federated learning-based pairwise ranking framework designed to improve governance in decentralized financial networks. It allows multiple institutions to collaboratively train a ranking model without sharing private transaction data, capturing network-wide behavioural patterns such as diversity of counterparties, multi-application usage, and transaction frequency. Evaluated on a real-world blockchain dataset, DeFiRank achieves ranking performance close to a centralized baseline while preserving data privacy and maintaining ranking stability, enabling reliable provider promotion and demotion decisions.

By Zahra Batool, Michael Duchesne, Kaiwen Zhang, Ulrich Aivodji
arXiv Machine Learning
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End-to-End Verifiable and Robust Federated Learning

arXiv:2609.15521v1 Announce Type: new Abstract: Federated learning enables multiple parties to train a shared model without centralizing raw data with the help of an aggregator, but introduces integr...

By Doryan Lesaignoux, Enrique M\'armol Campos, Gabriele Spini, Jos\'e L. Hern\'andez-Ramos, Stephan Krenn