Summary of Comparative Evaluation Of Clustered Federated Learning Methods, by Michael Ben Ali (irit) et al.
Comparative Evaluation of Clustered Federated Learning Methodsby Michael Ben Ali, Omar El-Rifai, Imen Megdiche, André…
Comparative Evaluation of Clustered Federated Learning Methodsby Michael Ben Ali, Omar El-Rifai, Imen Megdiche, André…
A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel Optimizationby Min Wen, Chengchang…
FedMSE: Federated learning for IoT network intrusion detectionby Van Tuan Nguyen, Razvan BeuranFirst submitted to…
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learningby Brianna Mueller, W. Nick Street,…
On-device Federated Learning in Smartphones for Detecting Depression from Reddit Postsby Mustofa Ahmed, Abdul Muntakim,…
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Modelsby Sajjad Ghiasvand, Yifan Yang, Zhiyu Xue,…
Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneityby Handi…
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuningby Evelyn Ma, Chao Pan, Rasoul…
FedCAP: Robust Federated Learning via Customized Aggregation and Personalizationby Youpeng Li, Xinda Wang, Fuxun Yu,…
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logicby Jinqian Chen, Jihua ZhuFirst submitted…