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researcher

M. Seigel

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CR1
  • cs.LG1
  • eess.AS1

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedImproving on-device speaker verification using federated learning with privacy

2 citations · 5 across the 3 of their papers we have counts for

collaborators
Showing cs.CRShow all

1 paper · 1 filter

cs.CR2022★ 1 cited

Training a Tokenizer for Free with Private Federated Learning

Eugene Bagdasaryan, Congzheng Song, Rogier van Dalen +2

Federated learning with differential privacy, i.e. private federated learning (PFL), makes it possible to train models on private data distributed across users' devices without har…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.