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Maximilian Lam

12 papers hereh-index 131.9k citations20 works total

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

author position
  • sole author1
  • first author4
  • middle author7

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CR3
  • cs.CL1
  • cs.DC1
  • cs.PF1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedGradient Diversity: a Key Ingredient for Scalable Distributed Learning

20 citations · 36 across the 6 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.LG2021

The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage

Daniel Galvez, Greg Diamos, Juan Ciro +7

The People's Speech is a free-to-download 30,000-hour and growing supervised conversational English speech recognition dataset licensed for academic and commercial usage under CC-B…

cs.CR2021★ 11 cited

Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix

Maximilian Lam, Gu-Yeon Wei, David Brooks +2

We show that aggregated model updates in federated learning may be insecure. An untrusted central server may disaggregate user updates from sums of updates across participants give…

cs.LG2021

Widening Access to Applied Machine Learning with TinyML

Vijay Janapa Reddi, Brian Plancher, Susan Kennedy +21

Broadening access to both computational and educational resources is critical to diffusing machine-learning (ML) innovation. However, today, most ML resources and experts are siloe…

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