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20222026
most citedAdaptive Parameterization of Deep Learning Models for Federated Learning

5 citations · 10 across the 9 of their papers we have counts for

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cs.LG2025

Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset

Abhisek Ray, Lukas Esterle

Federated Learning (FL) has emerged as a powerful paradigm for training machine learning models across distributed data sources while preserving data locality. However, the privacy…