Joel Daniel Andersson

activity

20242026

most citedOn the Space Complexity of Online Convolution

1 citations · 1 across the 7 of their papers we have counts for

collaborators

Showing 2025Show all

3 papers · 1 filter

cs.LG2025

Learning Rate Scheduling with Matrix Factorization for Private Training

Nikita P. Kalinin, Joel Daniel Andersson

We study differentially private model training with stochastic gradient descent under learning rate scheduling and correlated noise. Although correlated noise, in particular via ma…

cs.CR2025

Private Lossless Multiple Release

Joel Daniel Andersson, Lukas Retschmeier, Boel Nelson +1

Koufogiannis et al. (2016) showed a $gradual release$ result for Laplace noise-based differentially private mechanisms: given an $ε$ -DP release, a new release wi…

cs.CC2025★ 1 cited

On the Space Complexity of Online Convolution

Joel Daniel Andersson, Amir Yehudayoff

We study a discrete convolution streaming problem. An input arrives as a stream of numbers $z = (z_{0}, z_{1}, z_{2}, \dots)$ , and at time $t$ our goal is to output $(T z)_{t}$ where $T$ is a…