Papers
Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract)
Suraj Prasad, Navyansh Mahla, Sunny Gupta et al.
Federated Graph-level Clustering Network with Attribute Inference
Renda Han, Junlong Wu, Wenxuan Tu et al.
Federated Incomplete Multi-View Clustering with Tensorized Low-Rank Constraint
Wei Feng, Danting Liu, Qianqian Wang et al.
Federated Learning Playground
Bryan Shan Guanrong, Alysa Ziying Tan, Han Yu
Federated Linear Dueling Bandits
Xuhan Huang, Yan Hu, Zhiyan Li et al.
Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning
Mayank Kumar Kundalwal, Mamta Mamta, Deepak Mishra et al.
Federated Vision-Language-Recommendation with Personalized Fusion
Zhiwei Li, Guodong Long, Jing Jiang et al.
FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients
Gongxi Zhu, Hanlin Gu, Lixin Fan et al.
FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction
Qing Hu, Tianchi Liao, Shuyi Wu et al.
FedMerge: Federated Model Merging for Personalization
Shutong Chen, Tianyi Zhou, Guodong Long et al.
FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs
Royson Lee, Minyoung Kim, Fady Rezk et al.
FedPKDA: Personalized Federated Learning with Privacy-Preserving Knowledge Dynamic Alignment
Moxuan Zeng, Wenxuan Tu, Yuanyi Chen et al.
FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters
Hiro Ishii, Kenta Niwa, Hiroshi Sawada et al.
FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation
Fatema Siddika, Md Anwar Hossen, Juan Pablo Munoz et al.
FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning
Xingwei Huang, Zhaobin Sun, Junjie Shi et al.
FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation
M. Yashwanth, Sampath Koti, Arunabh Singh et al.
FedSDA: Federated Stain Distribution Alignment for Non-IID Histopathological Image Classification
Cheng-Chang Tsai, Kai-Wen Cheng, Chun-Shien Lu
FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD
Zhenyuan Huang, Hui Zhang, Wenzhong Tang et al.
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models
Zishuai Zhang, Hainan Zhang, Weihua Li et al.
FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness
Siyuan Wen, Meng Zhang, Yang Yang et al.
FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting
Henggang Deng, Yuchao Tang, Wenjie Fu et al.
FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions
Ke Hu, Liyao Xiang, Peng Tang et al.
Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning
Arani Roy, Marco P. Apolinario, Shristi Das Biswas et al.
Feedback-Aware Prompt Optimization Framework for Generating Job Postings
Suraj Maharjan, Ainur Yessenalina, Srinivasan H. Sengamedu
Fetal and Neonatal Cortical Surface Reconstruction with Anatomical Normal-guidance and Perceptual Enhancements
Jiyang Lee, Woori Bae, U-Geun Ji et al.