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Large-scale deployments of low Earth orbit (LEO) satellites collect massive amount of Earth imageries and sensor data, which can empower machine learning (ML) to address global challenges such as real-time disaster navigation and mitigation.
Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., and Fei-Fei, L · 2009
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Federated learning: Strategies for improving communication efficiency
Konečný, J., McMahan, H. B., Yu, F. X., Richtárik, P., Suresh, A. T., and Bacon, D · 2016
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QSGD: communication-efficient SGD via gradient quantization and encoding
Alistarh, D., Grubic, D., Li, J., Tomioka, R., and Vojnovic, M · 2017
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Practical secure aggregation for privacy-preserving machine learning
Bonawitz, K. A., Ivanov, V., Kreuter, B., Marcedone, A., McMahan, H. B., Patel, S., Ramage, D., Segal, A., and Seth, K · 2017
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Densely connected convolutional networks
Huang, G., Liu, Z., Van Der Maaten, L., and Weinberger, K. Q · 2017
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A high resolution optical satellite image dataset for ship recognition and some new baselines
Liu, Z., Yuan, L., Weng, L., and Yang, Y · 2017
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Communication-efficient learning of deep networks from decentralized data
McMahan, B., Moore, E., Ramage, D., Hampson, S., and y Arcas, B. A · 2017
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Space Exploration Holdings, LLC seeks operating authority (i.e., approval for orbital deployment and a station license) for a non-geostationary orbit satellite system in the Fixed-Satellite Service using supplemental Ku and Ka frequency bands
SpaceX Space Exploration Holdings · 2017
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Distributed mean estimation with limited communication
Suresh, A. T., Yu, F. X., Kumar, S., and McMahan, H. B · 2017
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CubeSats enable high spatiotemporal retrievals of crop-water use for precision agriculture
Aragon, B., Houborg, R., Tu, K., Fisher, J. B., and McCabe, M. F · 2018
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Functional map of the world
Christie, G., Fendley, N., Wilson, J., and Mukherjee, R · 2018
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https://techcrunch.com/2018/09/14/inside-planet-labs-new-satellite-manufacturing-site/ , 2018
Escher, A · 2018
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Constellation phasing with differential drag on planet labs satellites
Foster, C., Mason, J., Vittaldev, V., Leung, L., Beukelaers, V., Stepan, L., and Zimmerman, R · 2018
Cited alongside, same era.
Tech giants race to build orbital internet [news]
Harris, M · 2018
Cited alongside, same era.
A survey on deep transfer learning
Tan, C., Sun, F., Kong, T., Zhang, W., Yang, C., and Liu, C · 2018
Cited alongside, same era.
WorldVu Satellites Limited (d/b/a OneWeb) proposes to expand its previously authorized 720-satellite LEO constellation in Ku and Ka-band to 1,980 satellites
WorldVu Satellites Limited · 2018
Cited alongside, same era.
Group normalization
Wu, Y. and He, K · 2018
Cited alongside, same era.
Towards federated learning at scale: System design
Bonawitz, K. A., Eichner, H., Grieskamp, W., Huba, D., Ingerman, A., Ivanov, V., Kiddon, C., Konečný, J., Mazzocchi, S., McMahan, B., Overveldt, T. V., Petrou, D., Ramage, D., and Roselander, J · 2019
Spatial analysis and GIS in the study of COVID-19. a review
Franch-Pardo, I., Napoletano, B. M., Rosete-Verges, F., and Billa, L · 2020
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The Non-IID data quagmire of decentralized machine learning
Hsieh, K., Phanishayee, A., Mutlu, O., and Gibbons, P. B · 2020
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FetchSGD: Communication-efficient federated learning with sketching
Rothchild, D., Panda, A., Ullah, E., Ivkin, N., Stoica, I., Braverman, V., Gonzalez, J., and Arora, R · 2020
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Planet’s dove satellite constellation
Safyan, M · 2020
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van Dijk, M., Nguyen, N. V., Nguyen, T. N., Nguyen, L. M., Tran-Dinh, Q., and Nguyen, P. H · 2020
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Cited alongside, same era.
Using ground relays for low-latency wide-area routing in megaconstellations
Handley, M · 2019
Cited alongside, same era.
Asynchronous federated optimization
Xie, C., Koyejo, S., and Gupta, I · 2019
Cited alongside, same era.
A review on early forest fire detection systems using optical remote sensing
Barmpoutis, P., Papaioannou, P., Dimitropoulos, K., and Grammalidis, N · 2020
Cited alongside, same era.
Cascading and pulse-like ruptures during the 2019 ridgecrest earthquakes in the eastern california shear zone
Chen, K., Avouac, J.-P., Aati, S., Milliner, C., Zheng, F., and Shi, C · 2020
Cited alongside, same era.
Balancing privacy rights and the production of high-quality satellite imagery
Coffer, M · 2020
Cited alongside, same era.
Orbital edge computing: Nanosatellite constellations as a new class of computer system
Denby, B. and Lucia, B · 2020
Cited alongside, same era.
Chen, H., Xiao, M., and Pang, Z · 2021
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Advances and open problems in federated learning
Kairouz, P., McMahan, H. B., Avent, B., Bellet, A., Bennis, M., Bhagoji, A. N., Bonawitz, K. A., Charles, Z., Cormode, G., Cummings, R., D’Oliveira, R. G. L., Eichner, H., Rouayheb, S. E., Evans, D., Gardner, J., Garrett, Z., Gascón, A., Ghazi, B., Gibbons, P. B., Gruteser, M., Harchaoui, Z., He, C., He, L., Huo, Z., Hutchinson, B., Hsu, J., Jaggi, M., Javidi, T., Joshi, G., Khodak, M., Konečný, J., Korolova, A., Koushanfar, F., Koyejo, S., Lepoint, T., Liu, Y., Mittal, P., Mohri, M., Nock, R., Özgür, A., Pagh, R., Qi, H., Ramage, D., Raskar, R., Raykova, M., Song, D., Song, W., Stich, S. U., Sun, Z., Suresh, A. T., Tramèr, F., Vepakomma, P., Wang, J., Xiong, L., Xu, Z., Yang, Q., Yu, F. X., Yu, H., and Zhao, S · 2021
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Federated learning with buffered asynchronous aggregation
Nguyen, J., Malik, K., Zhan, H., Yousefpour, A., Rabbat, M., Esmaeili, M. M., and Huba, D · 2021
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Enhancing access and usage of earth observations in environmental decision-making in eastern and southern africa through capacity building
Shukla, S., Macharia, D., Husak, G. J., Landsfeld, M., Nakalembe, C. L., Blakeley, S. L., Adams, E. C., and Way-Henthorne, J · 2021
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L2D2: low latency distributed downlink for LEO satellites
Vasisht, D., Shenoy, J., and Chandra, R · 2021
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Ground-assisted federated learning in leo satellite constellations
Razmi, N., Matthiesen, B., Dekorsy, A., and Popovski, P · 2022
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