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20172026
most citedPreservation of the Global Knowledge by Not-True Distillation in Federated Learning

44 citations · 50 across the 12 of their papers we have counts for

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cs.CV2024

FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning

Seongyoon Kim, Minchan Jeong, Sungnyun Kim +3

Federated Learning (FL) has emerged as a pivotal framework for the development of effective global models (global FL) or personalized models (personalized FL) across clients with h…