%0 Conference Paper %1 conf/icpads/LuoLCW22 %A Luo, Yiyang %A Lu, Ting %A Chang, Shan %A Wang, Bingyue %B ICPADS %D 2022 %I IEEE %K dblp %P 851-858 %T Improving Federated Learning on Heterogeneous Data via Serial Pipeline Training and Global Knowledge Regularization. %U http://dblp.uni-trier.de/db/conf/icpads/icpads2022.html#LuoLCW22 %@ 978-1-6654-7315-6

@inproceedings{conf/icpads/LuoLCW22, added-at = {2023-04-06T00:00:00.000+0200}, author = {Luo, Yiyang and Lu, Ting and Chang, Shan and Wang, Bingyue}, biburl = {https://www.bibsonomy.org/bibtex/232b86bc242a214a122fb3caf88d87ab7/dblp}, booktitle = {ICPADS}, crossref = {conf/icpads/2022}, ee = {https://doi.org/10.1109/ICPADS56603.2022.00115}, interhash = {596117d9024fa15a7fa00735079aaa5e}, intrahash = {32b86bc242a214a122fb3caf88d87ab7}, isbn = {978-1-6654-7315-6}, keywords = {dblp}, pages = {851-858}, publisher = {IEEE}, timestamp = {2024-04-09T19:41:32.000+0200}, title = {Improving Federated Learning on Heterogeneous Data via Serial Pipeline Training and Global Knowledge Regularization.}, url = {http://dblp.uni-trier.de/db/conf/icpads/icpads2022.html#LuoLCW22}, year = 2022 }