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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…
cs.LG2023★ 5 cited
Adaptive Parameterization of Deep Learning Models for Federated Learning
Morten From Elvebakken, Alexandros Iosifidis, Lukas Esterle
Federated Learning offers a way to train deep neural networks in a distributed fashion. While this addresses limitations related to distributed data, it incurs a communication over…