%0 Conference Paper %1 conf/ipsn/JiangSX24 %A Jiang, Siyang %A Shuai, Xian %A Xing, Guoliang %B IPSN %D 2024 %I IEEE %K dblp %P 27-38 %T ArtFL: Exploiting Data Resolution in Federated Learning for Dynamic Runtime Inference via Multi-Scale Training. %U http://dblp.uni-trier.de/db/conf/ipsn/ipsn2024.html#JiangSX24 %@ 979-8-3503-6201-5

@inproceedings{conf/ipsn/JiangSX24, added-at = {2024-07-16T00:00:00.000+0200}, author = {Jiang, Siyang and Shuai, Xian and Xing, Guoliang}, biburl = {https://www.bibsonomy.org/bibtex/27b59a5c379c0369a8c8fb48aded108f8/dblp}, booktitle = {IPSN}, crossref = {conf/ipsn/2024}, ee = {https://doi.org/10.1109/IPSN61024.2024.00007}, interhash = {75c567ac479ac327c5a6834d0f8f7908}, intrahash = {7b59a5c379c0369a8c8fb48aded108f8}, isbn = {979-8-3503-6201-5}, keywords = {dblp}, pages = {27-38}, publisher = {IEEE}, timestamp = {2024-07-22T07:16:28.000+0200}, title = {ArtFL: Exploiting Data Resolution in Federated Learning for Dynamic Runtime Inference via Multi-Scale Training.}, url = {http://dblp.uni-trier.de/db/conf/ipsn/ipsn2024.html#JiangSX24}, year = 2024 }