Manu, Daniel, Alazzwi, Abee, Yao, Jingjing, Lin, Youzuo, and Sun, Xiang. AsyncFedGAN: An Efficient and Staleness-Aware Asynchronous Federated Learning Framework for Generative Adversarial Networks. Retrieved from https://par.nsf.gov/biblio/10581111. IEEE Transactions on Parallel and Distributed Systems 36.3 Web. doi:10.1109/TPDS.2024.3521016.

Manu, Daniel, Alazzwi, Abee, Yao, Jingjing, Lin, Youzuo, & Sun, Xiang. AsyncFedGAN: An Efficient and Staleness-Aware Asynchronous Federated Learning Framework for Generative Adversarial Networks. IEEE Transactions on Parallel and Distributed Systems, 36 (3). Retrieved from https://par.nsf.gov/biblio/10581111. https://doi.org/10.1109/TPDS.2024.3521016

Manu, Daniel, Alazzwi, Abee, Yao, Jingjing, Lin, Youzuo, and Sun, Xiang. "AsyncFedGAN: An Efficient and Staleness-Aware Asynchronous Federated Learning Framework for Generative Adversarial Networks". IEEE Transactions on Parallel and Distributed Systems 36 (3). Country unknown/Code not available: IEEE. https://doi.org/10.1109/TPDS.2024.3521016. https://par.nsf.gov/biblio/10581111.

@article{osti_10581111,
place = {Country unknown/Code not available}, title = {AsyncFedGAN: An Efficient and Staleness-Aware Asynchronous Federated Learning Framework for Generative Adversarial Networks}, url = {https://par.nsf.gov/biblio/10581111}, DOI = {10.1109/TPDS.2024.3521016}, abstractNote = {}, journal = {IEEE Transactions on Parallel and Distributed Systems}, volume = {36}, number = {3}, publisher = {IEEE}, author = {Manu, Daniel and Alazzwi, Abee and Yao, Jingjing and Lin, Youzuo and Sun, Xiang}, }