FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clusteringby Siqi Ping, Yuzhu Mao,…
FedGreen: Carbon-aware Federated Learning with Model Size Adaptationby Ali Abbasi, Fan Dong, Xin Wang, Henry…
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classificationby Liang Qu, Cunze Wang,…
Federated Learning with Only Positive Labels by Exploring Label Correlationsby Xuming An, Dui Wang, Li…
Advances and Open Challenges in Federated Foundation Modelsby Chao Ren, Han Yu, Hongyi Peng, Xiaoli…
Fin-Fed-OD: Federated Outlier Detection on Financial Tabular Databy Dayananda Herurkar, Sebastian Palacio, Ahmed Anwar, Joern…
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learningby Duy Phuong Nguyen, J. Pablo Munoz, Ali…
Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithmsby Taewook Hwang,…
Machine Learning Techniques for MRI Data Processing at Expanding Scaleby Taro LangnerFirst submitted to arxiv…
Dual Model Replacement:invisible Multi-target Backdoor Attack based on Federal Learningby Rong Wang, Guichen Zhou, Mingjun…