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20232026
most citedInstructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions

2 citations · 3 across the 11 of their papers we have counts for

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cs.LG2023★ 1 cited

FedFN: Feature Normalization for Alleviating Data Heterogeneity Problem in Federated Learning

Seongyoon Kim, Gihun Lee, Jaehoon Oh +1

Federated Learning (FL) is a collaborative method for training models while preserving data privacy in decentralized settings. However, FL encounters challenges related to data het…