FlexiFed: Personalized Federated Learning for Edge Clients with Heterogeneous Model Architectures.

@inproceedings{wang-2023-flexifed, author = {Kaibin Wang and Qiang He and Feifei Chen and Chunyang Chen and Faliang Huang and Hai Jin and Yun Yang}, editor = {Ying Ding and Jie Tang and Juan F. Sequeda and Lora Aroyo and Carlos Castillo and Geert-Jan Houben}, title = {{FlexiFed: Personalized Federated Learning for Edge Clients with Heterogeneous Model Architectures}}, booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}}, pages = {2979--2990}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3543507.3583347}, doi = {https://doi.org/10.1145/3543507.3583347} }