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Optimal Scheduling of a Constellation of Earth-Imaging Satellites, for Maximal Data Throughput and Efficient Human Management., , , and . ICAPS, page 345-352. AAAI Press, (2016)Generative Models for Effective ML on Private, Decentralized Datasets., , , , , , , and . ICLR, OpenReview.net, (2020)Mixed Federated Learning: Joint Decentralized and Centralized Learning., , , , , , and . CoRR, (2022)Tumbling target reconstruction and pose estimation through fusion of monocular vision and sparse-pattern range data., , , and . MFI, page 419-425. IEEE, (2012)Production federated keyword spotting via distillation, filtering, and joint federated-centralized training., , , , , , , , , and 2 other author(s). INTERSPEECH, page 76-80. ISCA, (2022)Learning from straggler clients in federated learning., , , , , , and . CoRR, (2024)Learning to Generate Image Embeddings with User-level Differential Privacy., , , , , , , , and . CoRR, (2022)Federated Learning for Mobile Keyboard Prediction., , , , , , , and . CoRR, (2018)Optimal Scheduling of Earth-Imaging Satellites with Human Collaboration via Directed Acyclic Graphs.. AAAI Spring Symposia, AAAI Press, (2014)Generative Models for Effective ML on Private, Decentralized Datasets., , , , , , , and . CoRR, (2019)