Summary of Feddistill: Global Model Distillation For Local Model De-biasing in Non-iid Federated Learning, by Changlin Song et al.
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learningby Changlin Song, Divya…
Summary of Map: Model Aggregation and Personalization in Federated Learning with Incomplete Classes, by Xin-chun Li et al.
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classesby Xin-Chun Li, Shaoming Song,…
Summary of Praffl: a Preference-aware Scheme in Fair Federated Learning, by Rongguang Ye et al.
PraFFL: A Preference-Aware Scheme in Fair Federated Learningby Rongguang Ye, Wei-Bin Kou, Ming TangFirst submitted…
Summary of Federated Distillation: a Survey, by Lin Li and Jianping Gou and Baosheng Yu and Lan Du and Zhang Yiand Dacheng Tao
Federated Distillation: A Surveyby Lin Li, Jianping Gou, Baosheng Yu, Lan Du, Zhang Yiand Dacheng…
Summary of Anti-byzantine Attacks Enabled Vehicle Selection For Asynchronous Federated Learning in Vehicular Edge Computing, by Cui Zhang et al.
Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computingby Cui Zhang,…
Summary of Federated Optimization with Doubly Regularized Drift Correction, by Xiaowen Jiang et al.
Federated Optimization with Doubly Regularized Drift Correctionby Xiaowen Jiang, Anton Rodomanov, Sebastian U. StichFirst submitted…
Summary of Fedauxhmtl: Federated Auxiliary Hard-parameter Sharing Multi-task Learning For Network Edge Traffic Classification, by Faisal Ahmed et al.
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classificationby Faisal Ahmed, Myungjin…
Summary of Bayesian Federated Model Compression For Communication and Computation Efficiency, by Chengyu Xia et al.
Bayesian Federated Model Compression for Communication and Computation Efficiencyby Chengyu Xia, Danny H. K. Tsang,…
Summary of Logit Calibration and Feature Contrast For Robust Federated Learning on Non-iid Data, by Yu Qiao et al.
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Databy Yu Qiao, Chaoning…
Summary of Federated Learning Model For Predicting Major Postoperative Complications, by Yonggi Park et al.
Federated learning model for predicting major postoperative complicationsby Yonggi Park, Yuanfang Ren, Benjamin Shickel, Ziyuan…