Private PAC learning implies finite Littlestone dimension

Noga Alon, Roi Livni, Maryanthe Malliaris +1

We show that every approximately differentially private learning algorithm (possibly improper) for a class $H$ with Littlestone dimension~$d$ requires $\Omega ({\log }^{\ast }(d))$ exam…