%0 Journal Article %1 journals/fgcs/YuanYBKH21 %A Yuan, Yachao %A Yuan, Yali %A Baker, Thar %A Kolbe, Lutz Maria %A Hogrefe, Dieter %D 2021 %J Future Gener. Comput. Syst. %K dblp %P 385-398 %T FedRD: Privacy-preserving adaptive Federated learning framework for intelligent hazardous Road Damage detection and warning. %U http://dblp.uni-trier.de/db/journals/fgcs/fgcs125.html#YuanYBKH21 %V 125

@article{journals/fgcs/YuanYBKH21, added-at = {2021-09-01T00:00:00.000+0200}, author = {Yuan, Yachao and Yuan, Yali and Baker, Thar and Kolbe, Lutz Maria and Hogrefe, Dieter}, biburl = {https://www.bibsonomy.org/bibtex/26d995df21d5351ede4f4553189151264/dblp}, ee = {https://doi.org/10.1016/j.future.2021.06.035}, interhash = {7d4f56b92c54329c8d96db1ba019befc}, intrahash = {6d995df21d5351ede4f4553189151264}, journal = {Future Gener. Comput. Syst.}, keywords = {dblp}, pages = {385-398}, timestamp = {2024-04-09T02:19:31.000+0200}, title = {FedRD: Privacy-preserving adaptive Federated learning framework for intelligent hazardous Road Damage detection and warning.}, url = {http://dblp.uni-trier.de/db/journals/fgcs/fgcs125.html#YuanYBKH21}, volume = 125, year = 2021 }