Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion Modelsby Zihao Luo, Xilie Xu,…
WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains Moreby Yuxuan Yue, Zhihang…
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Samplingby Arman Adibi, Nicolo Dal Fabbro,…
Communication-Efficient Distributed Learning with Local Immediate Error Compensationby Yifei Cheng, Li Shen, Linli Xu, Xun…
Stochastic Hessian Fittings with Lie Groupsby Xi-Lin LiFirst submitted to arxiv on: 19 Feb 2024CategoriesMain:…
LoRA Training in the NTK Regime has No Spurious Local Minimaby Uijeong Jang, Jason D.…
Mini-Hes: A Parallelizable Second-order Latent Factor Analysis Modelby Jialiang Wang, Weiling Li, Yurong Zhong, Xin…
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmarkby Yihua Zhang, Pingzhi Li, Junyuan Hong,…
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Modelsby Lanning Wei, Jun…
Variational Entropy Search for Adjusting Expected Improvementby Nuojin Cheng, Stephen BeckerFirst submitted to arxiv on:…