Summary of Empowering Federated Learning For Massive Models with Nvidia Flare, by Holger R. Roth et al.
Empowering Federated Learning for Massive Models with NVIDIA FLAREby Holger R. Roth, Ziyue Xu, Yuan-Ting…
Empowering Federated Learning for Massive Models with NVIDIA FLAREby Holger R. Roth, Ziyue Xu, Yuan-Ting…
Differentially Private Zeroth-Order Methods for Scalable Large Language Model Finetuningby Z Liu, J Lou, W…
Towards Meta-Pruning via Optimal Transportby Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis,…
Show Me How It’s Done: The Role of Explanations in Fine-Tuning Language Modelsby Mohamad Ballout,…
LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluationby Hongyun Zhou, Xiangyu Lu, Wang Xu,…
Transfer learning with generative models for object detection on limited datasetsby Matteo Paiano, Stefano Martina,…
Calibrating Long-form Generations from Large Language Modelsby Yukun Huang, Yixin Liu, Raghuveer Thirukovalluru, Arman Cohan,…
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Lossby Ruijie…
On the Convergence of Zeroth-Order Federated Tuning for Large Language Modelsby Zhenqing Ling, Daoyuan Chen,…
Learning to Route Among Specialized Experts for Zero-Shot Generalizationby Mohammed Muqeeth, Haokun Liu, Yufan Liu,…