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Rogier Van Dalen — most-cited papers & profile · Federated Learning
← authors
·
overview
Rogier Van Dalen
14
papers ·
24
citations ·
7
h-index
Samsung (United Kingdom)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Enforcing fairness in private federated learning via the modified method of differential multipliers
2021 · 18 citations
Improving on-device speaker verification using federated learning with privacy
2020 · 2 citations
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
2021 · 2 citations
Training a Tokenizer for Free with Private Federated Learning
2022 · 1 citations
DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models
2026
Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation
2026
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices
2022
pfl-research: simulation framework for accelerating research in Private Federated Learning
2024
Top co-authors
Filip Granqvist
· 5
\'Aine Cahill
· 3
Congzheng Song
· 3
Matt Seigel
· 3
Haaris Mehmood
· 2
Matthias Paulik
· 2
Abhishek Bhowmick
· 1
Alex Jin
· 1
and \'Aine Cahill
· 1
and Matt Seigel
· 1
Andrew Byde
· 1
Anmol Walia
· 1
Topics
Federated Learning
Privacy
Optimization
Edge Computing
Data Heterogeneity