Summary of Bayesian Neural Network For Personalized Federated Learning Parameter Selection, by Mengen Luo et al.
Bayesian Neural Network For Personalized Federated Learning Parameter Selectionby Mengen Luo, Ercan Engin KuruogluFirst submitted…
Summary of Codream: Exchanging Dreams Instead Of Models For Federated Aggregation with Heterogeneous Models, by Abhishek Singh et al.
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous modelsby Abhishek Singh, Gauri…
Summary of Esfl: Efficient Split Federated Learning Over Resource-constrained Heterogeneous Wireless Devices, by Guangyu Zhu et al.
ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devicesby Guangyu Zhu, Yiqin Deng, Xianhao…
Summary of A Bargaining-based Approach For Feature Trading in Vertical Federated Learning, by Yue Cui et al.
A Bargaining-based Approach for Feature Trading in Vertical Federated Learningby Yue Cui, Liuyi Yao, Zitao…
Summary of Enhancing One-shot Federated Learning Through Data and Ensemble Co-boosting, by Rong Dai et al.
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boostingby Rong Dai, Yonggang Zhang, Ang Li,…
Summary of Practical Insights Into Knowledge Distillation For Pre-trained Models, by Norah Alballa and Marco Canini
Practical Insights into Knowledge Distillation for Pre-Trained Modelsby Norah Alballa, Marco CaniniFirst submitted to arxiv…
Summary of Federated Fairness Without Access to Sensitive Groups, by Afroditi Papadaki et al.
Federated Fairness without Access to Sensitive Groupsby Afroditi Papadaki, Natalia Martinez, Martin Bertran, Guillermo Sapiro,…
Summary of Privacy-enhancing Collaborative Information Sharing Through Federated Learning — a Case Of the Insurance Industry, by Panyi Dong et al.
Privacy-Enhancing Collaborative Information Sharing through Federated Learning – A Case of the Insurance Industryby Panyi…
Summary of Federated Neural Graph Databases, by Qi Hu et al.
Federated Neural Graph Databasesby Qi Hu, Weifeng Jiang, Haoran Li, Zihao Wang, Jiaxin Bai, Qianren…
Summary of Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-offs, by Anika Hannemann et al.
Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offsby Anika Hannemann, Jan Ewald, Leo…