17 citations · 39 across the 10 of their papers we have counts for
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cs.LG2021★ 3 cited
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
Avrim Blum, Nika Haghtalab, Richard Lanas Phillips +1
In recent years, federated learning has been embraced as an approach for bringing about collaboration across large populations of learning agents. However, little is known about ho…
cs.LG2021★ 2 cited
Robust learning under clean-label attack
Avrim Blum, Steve Hanneke, Jian Qian +1
We study the problem of robust learning under clean-label data-poisoning attacks, where the attacker injects (an arbitrary set of) correctly-labeled examples to the training set to…