Efficient language model architectures for differentially private federated learning

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Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning

X Zuo, M Wang, T Zhu, L Zhang, D Ye, S Yu… - arxiv preprint arxiv …, 2024 - arxiv.org
The development of Large Language Models (LLMs) faces a significant challenge: the
exhausting of publicly available fresh data. This is because training a LLM needs a large …
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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 …
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