Papers
Federated Learning at the Forefront of Fairness: A Multifaceted Perspective
Noorain Mukhtiar, Adnan Mahmood, Yipeng Zhou et al.
Federated Learning with Domain Shift Eraser
Zheng Wang, Zihui Wang, Zheng Wang et al.
Federated Learning with Sample-level Client Drift Mitigation
Haoran Xu, Jiaze Li, Wanyi Wu et al.
Federated Low-Rank Adaptation for Foundation Models: A Survey
Yiyuan Yang, Guodong Long, Qinghua Lu et al.
Federated Multi-view Graph Clustering with Incomplete Attribute Imputation
Wei Feng, Zeyu Bi, Qianqian Wang et al.
Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
Thu Hang Phung, Duong M. Nguyen, Thanh Trung Huynh et al.
Federated Recommendation with Explicitly Encoding Item Bias
Zhihao Wang, He Bai, Wenke Huang et al.
Federated Representation Angle Learning
Liping Yi, Han Yu, Gang Wang et al.
Federated Residual Low-Rank Adaptation of Large Language Models
Yunlu Yan, Chun-Mei Feng, Wangmeng Zuo et al.
Federated Retrieval-Augmented Generation: A Systematic Mapping Study
Abhijit Chakraborty, Chahana Dahal, Vivek Gupta
Federated Retrieval Augmented Generation for Multi-Product Question Answering
Parshin Shojaee, Sai Sree Harsha, Dan Luo et al.
Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
Junki Mori, Kosuke Kihara, Taiki Miyagawa et al.
Federated Stochastic Bilevel Optimization with Fully First-Order Gradients
Yihan Zhang, Rohit Dhaipule, Chiu C. Tan et al.
Federated t-SNE and UMAP for Distributed Data Visualization
Dong Qiao, Xinxian Ma, Jicong Fan
Federated Unlearning with Gradient Descent and Conflict Mitigation
Zibin Pan, Zhichao Wang, Chi Li et al.
Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients
Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany et al.
Federated Voxel Scene Graph for Intracranial Hemorrhage
Antoine P. Sanner, Jonathan Stieber, Nils F. Grauhan et al.
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt
Benfeng Wang, Chao Huang, Jie Wen et al.
FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Large Language Models
Raghav Singhal, Kaustubh Ponkshe, Praneeth Vepakomma
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement
Shanfeng Wang, Jianzhao Li, Zaitian Liu et al.
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation
Pengyang Zhou, Chaochao Chen, Weiming Liu et al.
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients
Xiaoding Wang, Bin Ye, Li Xu et al.
FedHB: Hierarchical Bayesian Federated Learning
Minyoung Kim, Timothy Hospedales
FedLEKE: Federated Locate-then-Edit Knowledge Editing for Multi-Client Collaboration
Zongkai Zhao, Guozeng Xu, Xiuhua Li et al.