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cs.LG2019
Transfer Learning Between Related Tasks Using Expected Label Proportions
Matan Ben Noach, Yoav Goldberg
Deep learning systems thrive on abundance of labeled training data but such data is not always available, calling for alternative methods of supervision. One such method is expecta…
cs.LG2019★ 44 cited
A Little Is Enough: Circumventing Defenses For Distributed Learning
Moran Baruch, Gilad Baruch, Yoav Goldberg
Distributed learning is central for large-scale training of deep-learning models. However, they are exposed to a security threat in which Byzantine participants can interrupt or co…