%0 Journal Article %1 journals/sj/ChenLNZZ23 %A Chen, Zhikun %A Li, Daofeng %A Ni, Rui %A Zhu, Jinkang %A Zhang, Sihai %D 2023 %J IEEE Syst. J. %K dblp %N 3 %P 4038-4049 %T FedSeq: A Hybrid Federated Learning Framework Based on Sequential In-Cluster Training. %U http://dblp.uni-trier.de/db/journals/sj/sj17.html#ChenLNZZ23 %V 17

@article{journals/sj/ChenLNZZ23, added-at = {2023-09-14T00:00:00.000+0200}, author = {Chen, Zhikun and Li, Daofeng and Ni, Rui and Zhu, Jinkang and Zhang, Sihai}, biburl = {https://www.bibsonomy.org/bibtex/2906e2e095c05a05362ce6646488944d0/dblp}, ee = {https://doi.org/10.1109/JSYST.2023.3243694}, interhash = {20c40323670329d4e1dee7a512303850}, intrahash = {906e2e095c05a05362ce6646488944d0}, journal = {IEEE Syst. J.}, keywords = {dblp}, month = {September}, number = 3, pages = {4038-4049}, timestamp = {2024-04-08T19:32:36.000+0200}, title = {FedSeq: A Hybrid Federated Learning Framework Based on Sequential In-Cluster Training.}, url = {http://dblp.uni-trier.de/db/journals/sj/sj17.html#ChenLNZZ23}, volume = 17, year = 2023 }