Xiang, Ming, Ioannidis, Stratis, Yeh, Edmund, Joe-Wong, Carlee, and Su, Lili. Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. Retrieved from https://par.nsf.gov/biblio/10656679. IEEE Transactions on Signal Processing 73. Web. doi:10.1109/TSP.2025.3526782.

Xiang, Ming, Ioannidis, Stratis, Yeh, Edmund, Joe-Wong, Carlee, & Su, Lili. Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. IEEE Transactions on Signal Processing, 73 (). Retrieved from https://par.nsf.gov/biblio/10656679. https://doi.org/10.1109/TSP.2025.3526782

Xiang, Ming, Ioannidis, Stratis, Yeh, Edmund, Joe-Wong, Carlee, and Su, Lili. "Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics". IEEE Transactions on Signal Processing 73 (). Country unknown/Code not available: IEEE. https://doi.org/10.1109/TSP.2025.3526782. https://par.nsf.gov/biblio/10656679.

@article{osti_10656679,
place = {Country unknown/Code not available}, title = {Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics}, url = {https://par.nsf.gov/biblio/10656679}, DOI = {10.1109/TSP.2025.3526782}, abstractNote = {Not Available}, journal = {IEEE Transactions on Signal Processing}, volume = {73}, publisher = {IEEE}, author = {Xiang, Ming and Ioannidis, Stratis and Yeh, Edmund and Joe-Wong, Carlee and Su, Lili}, }