7 citations · 12 across the 7 of their papers we have counts for
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cs.LG2024★ 1 cited
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos, Jonathan Passerat-Palmbach, Giacomo Tarroni
Federated learning is a decentralized collaborative training paradigm preserving stakeholders' data ownership while improving performance and generalization. However, statistical h…
cs.LG2024★ 7 cited
Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions
Bianca-Mihaela Ganescu, Jonathan Passerat-Palmbach
Generative AI, exemplified by models like transformers, has opened up new possibilities in various domains but also raised concerns about fairness, transparency and reliability, es…