FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deploymentsby Ioannis Mavromatis, Stefano De…
Debiasing Federated Learning with Correlated Client Participationby Zhenyu Sun, Ziyang Zhang, Zheng Xu, Gauri Joshi,…
Quantized and Asynchronous Federated Learningby Tomas Ortega, Hamid JafarkhaniFirst submitted to arxiv on: 30 Sep…
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Modelsby Ji Liu, Jiaxiang Ren, Ruoming…
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clientsby Youssef Allouah, Abdellah El Mrini, Rachid…
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learningby Momin Ahmad Khan, Yasra Chandio,…
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Methodby Bikang Pan, Wei Huang, Ye…
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillationby Huidong Tang, Chen Li, Huachong Yu,…
Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learningby Zhidong Gao, Yu Zhang,…
One Node Per User: Node-Level Federated Learning for Graph Neural Networksby Zhidong Gao, Yuanxiong Guo,…