FedNKD: A Dependable Federated Learning Using Fine-tuned Random Noise and Knowledge Distillation.

Shaoxiong Zhu|Qi Qi|Zirui Zhuang|Jingyu Wang|Haifeng Sun|Jianxin Liao


Anthology ID:DBLP:conf/mir/Zhu0Z0SL22
Volume:ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27 - 30, 2022
Year:2022
Venue:International Conference on Multimedia Retrieval (ICMR)
Publisher:ACM
Pages:185-193
URL:https://doi.org/10.1145/3512527.3531372
DOI:https://doi.org/10.1145/3512527.3531372
DBLP:conf/mir/Zhu0Z0SL22
BibTeX:
@inproceedings{zhu-2022-fednkd, author = {Shaoxiong Zhu and Qi Qi and Zirui Zhuang and Jingyu Wang and Haifeng Sun and Jianxin Liao}, editor = {Vincent Oria and Maria Luisa Sapino and Shin'ichi Satoh and Brigitte Kerherv\'{e} and Wen-Huang Cheng and Ichiro Ide and Vivek K. Singh}, title = {{FedNKD: A Dependable Federated Learning Using Fine-tuned Random Noise and Knowledge Distillation}}, booktitle = {{ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27 - 30, 2022}}, pages = {185--193}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3512527.3531372}, doi = {https://doi.org/10.1145/3512527.3531372} }