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…
Comparative Evaluation of Clustered Federated Learning Methodsby Michael Ben Ali, Omar El-Rifai, Imen Megdiche, André…
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,…
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,…
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Modelsby Sajjad Ghiasvand, Yifan Yang, Zhiyu Xue,…
TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logicby Jinqian Chen, Jihua ZhuFirst submitted…