Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devicesby Kilian Pfeiffer, Mohamed Aboelenien Ahmed, Ramin…
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…
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…
DeepONet as a Multi-Operator Extrapolation Model: Distributed Pretraining with Physics-Informed Fine-Tuningby Zecheng Zhang, Christian Moya,…
PDC & DM-SFT: A Road for LLM SQL Bug-Fix Enhancingby Yiwen Duan, Yonghong Yu, Xiaoming…
vTune: Verifiable Fine-Tuning for LLMs Through Backdooringby Eva Zhang, Arka Pal, Akilesh Potti, Micah GoldblumFirst…
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…