Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfacesby Tianwang Jia, Lubin Meng, Siyang Li, Jiajing…
Incentivizing Truthful Collaboration in Heterogeneous Federated Learningby Dimitar Chakarov, Nikita Tsoy, Kristian Minchev, Nikola KonstantinovFirst…
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified…
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labelsby Yuxin Tian, Mouxing…
Streamlined Federated Unlearning: Unite as One to Be Highly Efficientby Lei Zhou, Youwen Zhu, Qiao…
Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Databy Chenguang Xiao, Shuo WangFirst…
Gradient Inversion Attack on Graph Neural Networksby Divya Anand Sinha, Yezi Liu, Ruijie Du, Yanning…
Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architecturesby Yicheng Zhang, Zhen Qin, Zhaomin…
Controlling Participation in Federated Learning with Feedbackby Michael Cummins, Guner Dilsad Er, Michael MuehlebachFirst submitted…
Locally Differentially Private Online Federated Learning With Correlated Noiseby Jiaojiao Zhang, Linglingzhi Zhu, Dominik Fay,…