FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Trainingby Philip Zmushko, Aleksandr Beznosikov, Martin…
OWLed: Outlier-weighed Layerwise Pruning for Efficient Autonomous Driving Frameworkby Jiaxi Li, Lu Yin, Xilu WangFirst…
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devicesby Kilian Pfeiffer, Mohamed Aboelenien Ahmed, Ramin…
Federated Low-Rank Adaptation with Differential Privacy over Wireless Networksby Tianqu Kang, Zixin Wang, Hengtao He,…
DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuningby Zecheng Zhang, Christian Moya,…
Federated Learning Client Pruning for Noisy Labelsby Mahdi Morafah, Hojin Chang, Chen Chen, Bill LinFirst…
Gradual Fine-Tuning with Graph Routing for Multi-Source Unsupervised Domain Adaptationby Yao Ma, Samuel Louvan, Zhunxuan…
PDC & DM-SFT: A Road for LLM SQL Bug-Fix Enhancingby Yiwen Duan, Yonghong Yu, Xiaoming…
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learningby Dong Li, Aijia Zhang, Junqi Gao,…
Federated LLMs Fine-tuned with Adaptive Importance-Aware LoRAby Yang Su, Na Yan, Yansha DengFirst submitted to…