most citedText-driven Prompt Generation for Vision-Language Models in Federated Learning

4 citations · 7 across the 3 of their papers we have counts for

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cs.LG2025

FedRPCA: Enhancing Federated LoRA Aggregation Using Robust PCA

Divyansh Jhunjhunwala, Arian Raje, Madan Ravi Ganesh +6

LoRA has emerged as one of the most promising fine-tuning techniques, especially for federated learning (FL), since it significantly reduces communication and computation costs at…

cs.LG2023★ 3 cited

Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning

Xidong Wu, Wan-Yi Lin, Devin Willmott +4

Federated Learning (FL) is a distributed training paradigm that enables clients scattered across the world to cooperatively learn a global model without divulging confidential data…