Summary of Improving Group Connectivity For Generalization Of Federated Deep Learning, by Zexi Li et al.
Improving Group Connectivity for Generalization of Federated Deep Learningby Zexi Li, Jie Lin, Zhiqi Li,…
Improving Group Connectivity for Generalization of Federated Deep Learningby Zexi Li, Jie Lin, Zhiqi Li,…
FedUV: Uniformity and Variance for Heterogeneous Federated Learningby Ha Min Son, Moon-Hyun Kim, Tai-Myoung Chung,…
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approachby Bin Wang, Jun Fang, Hongbin Li, Yonina…
Decentralised Traffic Incident Detection via Network Lassoby Qiyuan Zhu, A. K. Qin, Prabath Abeysekara, Hussein…
Federated Learning for Estimating Heterogeneous Treatment Effectsby Disha Makhija, Joydeep Ghosh, Yejin KimFirst submitted to…
FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learningby Ziyue Xu, Mingfeng…
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tuneby Mengen Luo, Chi Xu, Ercan Engin KuruogluFirst…
FedReview: A Review Mechanism for Rejecting Poisoned Updates in Federated Learningby Tianhang Zheng, Baochun LiFirst…
Distribution-Free Fair Federated Learning with Small Samplesby Qichuan Yin, Zexian Wang, Junzhou Huang, Huaxiu Yao,…
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Modelsby Jinqian Chen,…