Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks

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Fedjudge: Federated legal large language model

L Yue, Q Liu, Y Du, W Gao, Y Liu, F Yao - International Conference on …, 2024 - Springer
Abstract Large Language Models (LLMs) have gained prominence in the field of Legal
Intelligence, offering potential applications in assisting legal professionals and laymen …
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Advances and open challenges in federated learning with foundation models

C Ren, H Yu, H Peng, X Tang, A Li, Y Gao… - arxiv e …, 2024 - ui.adsabs.harvard.edu
Abstract The integration of Foundation Models (FMs) with Federated Learning (FL) presents
a transformative paradigm in Artificial Intelligence (AI), offering enhanced capabilities while …
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Synergizing Foundation Models and Federated Learning: A Survey

S Li, F Ye, M Fang, J Zhao, YH Chan, ECH Ngai… - arxiv preprint arxiv …, 2024 - arxiv.org
The recent development of Foundation Models (FMs), represented by large language
models, vision transformers, and multimodal models, has been making a significant impact …
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DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation

M Zhu, A Mao, J Liu, Y Yuan - IEEE Transactions on Medical …, 2024 - ieeexplore.ieee.org
Integrating low-rank adaptation (LoRA) with federated learning (FL) has received
widespread attention recently, aiming to adapt pretrained foundation models (FMs) to …
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