FedFMSL: Federated Learning of Foundations Models With Sparsely Activated LoRA
P Wu, K Li, T Wang, Y Dong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Foundation models (FMs) have shown great success in natural language processing,
computer vision, and multimodal tasks. FMs have a large number of model parameters, thus …
computer vision, and multimodal tasks. FMs have a large number of model parameters, thus …
Federated Learning driven Large Language Models for Swarm Intelligence: A Survey
Y Qu - arXiv preprint arXiv:2406.09831, 2024 - arxiv.org
Federated learning (FL) offers a compelling framework for training large language models
(LLMs) while addressing data privacy and decentralization challenges. This paper surveys …
(LLMs) while addressing data privacy and decentralization challenges. This paper surveys …
OASIS: offsetting active reconstruction attacks in federated learning
Federated Learning (FL) has garnered significant attention for its potential to protect user
privacy while enhancing model training efficiency. For that reason, FL has found its use in …
privacy while enhancing model training efficiency. For that reason, FL has found its use in …
Privacy Issues in Large Language Models: A Survey
In the fast-paced world of modern technology, the development of Large Language Models
(LLMs) has increased drastically. However, this growth has also increased privacy concerns …
(LLMs) has increased drastically. However, this growth has also increased privacy concerns …