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20242026
most citedFLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations

4 citations · 13 across the 37 of their papers we have counts for

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cs.DC2024

Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning

Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu +3

This paper presents FedType, a simple yet pioneering framework designed to fill research gaps in heterogeneous model aggregation within federated learning (FL). FedType introduces…