Dec 10, 2019 · This paper discusses recent advances and presents an extensive collection of open problems and challenges.
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This monograph has contributions from leading experts across the disciplines, who describe the latest state-of-the art from their perspective.
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Jun 23, 2021 · This monograph discusses recent advances and presents an extensive collection of open problems and challenges.
Mar 9, 2021 · The remainder of this paper surveys many open problems that are motivated by the constraints and chal- lenges of real-world federated learning ...
Motivated by the explosive growth in FL research, this monograph discusses recent advances and presents an extensive collection of open problems and challenges.
This paper discusses recent advances and presents an extensive collection of open problems and challenges.
Motivated by the explosive growth in FL research, this monograph discusses recent advances and presents an extensive collection of open problems and challenges.
Advances and Open Problems in Federated. Learning. Foundations and Trends® in Machine Learning, vol. 14, no. 1–2, pp. 1–210,. 2021. ISBN: 978-1-68083-789-6.
Motivated by the explosive growth in FL research, this paper discusses recent advances and presents an extensive collection of open problems and challenges.
Jul 1, 2021 · This paper focuses on backdoor attacks in the federated learning setting, where the goal of the adversary is to reduce the performance of the ...
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