Yan, Y., Yang, Q., Tang, S., & Shi, Z. (2024). FeDeRA: Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition.
Chicago Style (17th ed.) CitationYan, Yuxuan, Qianqian Yang, Shunpu Tang, and Zhiguo Shi. FeDeRA: Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition. 2024.
MLA (9th ed.) CitationYan, Yuxuan, et al. FeDeRA: Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition. 2024.
Warning: These citations may not always be 100% accurate.