2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 2 cited
Recent Advances in Federated Learning Driven Large Language Models: A Survey on Architecture, Performance, and Security
Youyang Qu, Ming Liu, Tianqing Zhu +3
Federated Learning (FL) offers a promising paradigm for training Large Language Models (LLMs) in a decentralized manner while preserving data privacy and minimizing communication o…
cs.LG2023
Learning to Learn for Few-shot Continual Active Learning
Stella Ho, Ming Liu, Shang Gao +1
Continual learning strives to ensure stability in solving previously seen tasks while demonstrating plasticity in a novel domain. Recent advances in continual learning are mostly c…