Concepedia

Matt Seigel

MS

3

Publications

73

Citations

3

H-Index

2021

Active since

Affiliations

KTH Royal Institute of Technology(Current)

Matt Seigel is an author at KTH Royal Institute of Technology specializing in federated learning, engineering, and data science.

Top concepts

Publications per year

2021–2021

3

Publications

3

Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications

Matthias Paulik, Matt Seigel, H. Benjamin Mason et al. · arXiv (Cornell University) · 2021 · 33 citations · Full text

, , +19

Enforcing fairness in private federated learning via the modified method of differential multipliers.

Borja Rodríguez-Gálvez, Filip Granqvist, Rogier C. van Dalen et al. · arXiv (Cornell University) · 2021 · 22 citations · Full text

Enforcing fairness in private federated learning via the modified method of differential multipliers

Borja Rodríguez-Gálvez, Filip Granqvist, Rogier van Dalen et al. · arXiv (Cornell University) · 2021 · 18 citations · Full text

, , +19

Rows per page

1–3 of 3