Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Ulf Brefeld,Elisa Fromont,Céline Robardet Conference proceeding

opportune

Distributed Learning of Non-convex Linear Models with One Round of Communication data, and so has negligible computational cost. Compared with similar distributed estimators that merge locally trained models, OWA either has stronger statistical guarantees, is applicable to more models, or has a more computationally efficient merging procedure.

DEFT

預(yù)兆好

Shift Happens: Adjusting Classifiers exact class distribution is known. We also demonstrate experimentally that, when in practice the class distribution is known only approximately, there is often still a reduction in loss depending on the amount of shift and the precision to which the class distribution is known.

Sarcoma

意外

Conference proceedings 2020overy in Databases, ECML PKDD 2019, held in Würzburg, Germany, in September 2019..The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track. ..The contributions were organized in topical sections named a

舊病復(fù)發(fā)

敲竹杠

LOPE

SLSGD: Secure and Efficient Distributed On-device Machine Learningrithm with efficient communication and attack tolerance. The proposed algorithm has provable convergence and robustness under non-IID settings. Empirical results show that the proposed algorithm stabilizes the convergence and tolerates data poisoning on a small number of workers.

碎石

978-3-030-46146-1Springer Nature Switzerland AG 2020

變形

Machine Learning and Knowledge Discovery in Databases978-3-030-46147-8Series ISSN 0302-9743 Series E-ISSN 1611-3349