Summary of Fedsheafhn: Personalized Federated Learning on Graph-structured Data, by Wenfei Liang et al.
FedSheafHN: Personalized Federated Learning on Graph-structured Databy Wenfei Liang, Yanan Zhao, Rui She, Yiming Li,…
FedSheafHN: Personalized Federated Learning on Graph-structured Databy Wenfei Liang, Yanan Zhao, Rui She, Yiming Li,…
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Modelsby Xudong Lu, Aojun Zhou, Yuhui Xu, Renrui…
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmarkby Fredrik D. JohanssonFirst…
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimizationby Zhe Li, Bicheng Ying, Zidong Liu,…
Basis Selection: Low-Rank Decomposition of Pretrained Large Language Models for Target Applicationsby Yang Li, Changsheng…
Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generationby Shentong Mo, Yapeng…
Risk Factor Identification In Osteoporosis Using Unsupervised Machine Learning Techniquesby Mikayla CalitisFirst submitted to arxiv…
Diffusion Bridge Implicit Modelsby Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun ZhuFirst submitted…
Predicting the Impact of Model Expansion through the Minima Manifold: A Loss Landscape Perspectiveby Pranshu…
Score Distillation via Reparametrized DDIMby Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan Greenewald, Vitor…