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A Field Guide to Federated Optimization.

J. Wang, Z. Charles, Z. Xu, G. Joshi, H. McMahan, B. y Arcas, M. Al-Shedivat, G. Andrew, S. Avestimehr, K. Daly, D. Data, S. Diggavi, H. Eichner, A. Gadhikar, Z. Garrett, A. Girgis, F. Hanzely, A. Hard, C. He, S. Horváth, Z. Huo, A. Ingerman, M. Jaggi, T. Javidi, P. Kairouz, S. Kale, S. Karimireddy, J. Konecný, S. Koyejo, T. Li, L. Liu, M. Mohri, H. Qi, S. Reddi, P. Richtárik, K. Singhal, V. Smith, M. Soltanolkotabi, W. Song, A. Suresh, S. Stich, A. Talwalkar, H. Wang, B. Woodworth, S. Wu, F. Yu, H. Yuan, M. Zaheer, M. Zhang, T. Zhang, C. Zheng, C. Zhu, and W. Zhu. CoRR, (2021)

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Ralf Petereit

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Generative Models for Effective ML on Private, Decentralized Datasets.S. Augenstein, H. McMahan, D. Ramage, S. Ramaswamy, P. Kairouz, M. Chen, R. Mathews, and B. y Arcas. CoRR, (2019)A sphere decoding approach for the vector Viterbi algorithm.P. Kairouz, A. Xu, N. Shanbhag, and A. Singer. ACSCC, page 114-118. IEEE, (2012)Spy vs. Spy: Rumor Source Obfuscation.P. Kairouz, S. Oh, and P. Viswanath. CoRR, (2014)Extremal Mechanisms for Local Differential Privacy.P. Kairouz, S. Oh, and P. Viswanath. J. Mach. Learn. Res., (2016)Federated Heavy Hitters Discovery with Differential Privacy.W. Zhu, P. Kairouz, H. Sun, B. McMahan, and W. Li. CoRR, (2019)Learning Generative Adversarial RePresentations (GAP) under Fairness and Censoring Constraints.J. Liao, C. Huang, P. Kairouz, and L. Sankar. CoRR, (2019)Series Editorial: The Second Issue of the Series on Machine Learning in Communications and Networks.G. Li, W. Saad, A. Özgür, P. Kairouz, Z. Qin, J. Hoydis, Z. Han, D. Gündüz, and J. Elmirghani. IEEE J. Sel. Areas Commun., 39 (7): 1855-1857 (2021)The Fifth Issue of the Series on Machine Learning in Communications and Networks.G. Li, W. Saad, A. Özgür, P. Kairouz, Z. Qin, J. Hoydis, Z. Han, D. Gündüz, and J. Elmirghani. IEEE J. Sel. Areas Commun., 40 (8): 2251-2253 (2022)Series Editorial: Inauguration Issue of the Series on Machine Learning in Communications and Networks.G. Li, W. Saad, A. Özgür, P. Kairouz, Z. Qin, J. Hoydis, Z. Han, D. Gündüz, and J. Elmirghani. IEEE J. Sel. Areas Commun., 39 (1): 1-3 (2021)Shuffled Model of Federated Learning: Privacy, Accuracy and Communication Trade-Offs.A. Girgis, D. Data, S. Diggavi, P. Kairouz, and A. Suresh. IEEE J. Sel. Areas Inf. Theory, 2 (1): 464-478 (2021)

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Disambiguation of "Kairouz, Peter"

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A Field Guide to Federated Optimization.

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Tanja Elisabeth Peters

Andre Peters

Jillian Petersen

Robert Martin Peterreins

Ralf Petereit

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BibSonomy

Disambiguation of "Kairouz, Peter"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Field Guide to Federated Optimization.

Please choose a person to relate this publication to

Tanja Elisabeth Peters

Andre Peters

Jillian Petersen

Robert Martin Peterreins

Ralf Petereit

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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MSOffice XML

A Field Guide to Federated Optimization.