Gao, Jing, Liu, Tianci, Su, Lu, Wang, Xingchen, Wang, Yaqing, and Wu, Feijie. FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction. Retrieved from https://par.nsf.gov/biblio/10647830. Web. doi:10.52202/079017-3672.

Gao, Jing, Liu, Tianci, Su, Lu, Wang, Xingchen, Wang, Yaqing, & Wu, Feijie. FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction. Retrieved from https://par.nsf.gov/biblio/10647830. https://doi.org/10.52202/079017-3672

Gao, Jing, Liu, Tianci, Su, Lu, Wang, Xingchen, Wang, Yaqing, and Wu, Feijie. "FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction". Country unknown/Code not available: Neural Information Processing Systems Foundation, Inc. (NeurIPS). https://doi.org/10.52202/079017-3672. https://par.nsf.gov/biblio/10647830.

@article{osti_10647830,
place = {Country unknown/Code not available}, title = {FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction}, url = {https://par.nsf.gov/biblio/10647830}, DOI = {10.52202/079017-3672}, abstractNote = {Not Available}, journal = {}, publisher = {Neural Information Processing Systems Foundation, Inc. (NeurIPS)}, author = {Gao, Jing and Liu, Tianci and Su, Lu and Wang, Xingchen and Wang, Yaqing and Wu, Feijie}, }