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20212026
most citedCrowdsourcing subjective annotations using pairwise comparisons reduces bias and error compared to the majority-vote method

19 citations · 34 across the 4 of their papers we have counts for

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cs.LG2026

Decentralised Federated Learning over Temporal Networks: The Role of Heterogeneities

Arash Badie-Modiri, Chiara Boldrini, Lorenzo Valerio +2

Decentralised federated learning, based on peer-to-peer communication, is increasingly proposed for on-device training of machine learning models, promising a privacy-preserving, c…