Xiang, Ming, Ioannidis, Stratis, Yeh, Edmund, Joe-Wong, Carlee, and Su, Lili. Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. Retrieved from https://par.nsf.gov/biblio/10658171. Web. doi:10.52202/079017-3313.

Xiang, Ming, Ioannidis, Stratis, Yeh, Edmund, Joe-Wong, Carlee, & Su, Lili. Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. Retrieved from https://par.nsf.gov/biblio/10658171. https://doi.org/10.52202/079017-3313

Xiang, Ming, Ioannidis, Stratis, Yeh, Edmund, Joe-Wong, Carlee, and Su, Lili. "Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability". Country unknown/Code not available: Neural Information Processing Systems Foundation, Inc. (NeurIPS). https://doi.org/10.52202/079017-3313. https://par.nsf.gov/biblio/10658171.

@article{osti_10658171,
place = {Country unknown/Code not available}, title = {Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability}, url = {https://par.nsf.gov/biblio/10658171}, DOI = {10.52202/079017-3313}, abstractNote = {Not Available}, journal = {}, publisher = {Neural Information Processing Systems Foundation, Inc. (NeurIPS)}, author = {Xiang, Ming and Ioannidis, Stratis and Yeh, Edmund and Joe-Wong, Carlee and Su, Lili}, }