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On-device Federated Learning with Flower., , , , , , , , and . CoRR, (2021)Secure aggregation for federated learning in flower., , , and . DistributedML@CoNEXT, page 8-14. ACM, (2021)A first look into the carbon footprint of federated learning., , , , , and . CoRR, (2020)A First Look into the Carbon Footprint of Federated Learning., , , , , , , , and . J. Mach. Learn. Res., (2023)A first look into the carbon footprint of federated learning., , , , , , , and . CoRR, (2021)Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates., , , and . CoRR, (2023)End-to-End Speech Recognition from Federated Acoustic Models., , , , , , and . ICASSP, page 7227-7231. IEEE, (2022)MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation., , , , , , , , , and 32 other author(s). CoRR, (2021)Flower: A Friendly Federated Learning Research Framework., , , , , and . CoRR, (2020)Federated benchmarking of medical artificial intelligence with MedPerf., , , , , , , , , and 64 other author(s). Nat. Mac. Intell., 5 (7): 799-810 (July 2023)