Summary of The Effects Of Data Imbalance Under a Federated Learning Approach For Credit Risk Forecasting, by Shuyao Zhang et al.
The Effects of Data Imbalance Under a Federated Learning Approach for Credit Risk Forecastingby Shuyao…
The Effects of Data Imbalance Under a Federated Learning Approach for Credit Risk Forecastingby Shuyao…
Formal Logic Enabled Personalized Federated Learning Through Property Inferenceby Ziyan An, Taylor T. Johnson, Meiyi…
FedDriveScore: Federated Scoring Driving Behavior with a Mixture of Metric Distributionsby Lin LuFirst submitted to…
Gradient Coreset for Federated Learningby Durga Sivasubramanian, Lokesh Nagalapatti, Rishabh Iyer, Ganesh RamakrishnanFirst submitted to…
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Modelsby Yae Jee Cho, Luyang Liu, Zheng…
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learningby Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia,…
AdaFed: Fair Federated Learning via Adaptive Common Descent Directionby Shayan Mohajer Hamidi, En-Hui YangFirst submitted…
Relaxed Contrastive Learning for Federated Learningby Seonguk Seo, Jinkyu Kim, Geeho Kim, Bohyung HanFirst submitted…
Deep Efficient Private Neighbor Generation for Subgraph Federated Learningby Ke Zhang, Lichao Sun, Bolin Ding,…
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learningby Syed Irfan Ali Meerza,…