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Ashish Verma

11 papers hereh-index 191.4k citations78 works total

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

author position
  • middle author1
  • last author10

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.DC3
  • cs.CL1
  • cs.CR1
  • cs.CV1
same name
  • Ashish Verma — 12 papers, h 13
  • Ashish Verma — 3 papers, h 7
  • Ashish Verma — 1 paper, h 2
  • Ashish Verma — 1 paper, h 2
  • Ashish Verma — 1 paper, h 2
  • Ashish Verma — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedIBM Federated Learning: an Enterprise Framework White Paper V0.1

112 citations · 172 across the 9 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.CL2021

Position Masking for Improved Layout-Aware Document Understanding

Anik Saha, Catherine Finegan-Dollak, Ashish Verma

Natural language processing for document scans and PDFs has the potential to enormously improve the efficiency of business processes. Layout-aware word embeddings such as LayoutLM…

cs.CR2021★ 2 cited

Separation of Powers in Federated Learning

Pau-Chen Cheng, Kevin Eykholt, Zhongshu Gu +4

Federated Learning (FL) enables collaborative training among mutually distrusting parties. Model updates, rather than training data, are concentrated and fused in a central aggrega…

cs.LG2021★ 16 cited

Adversarial training in communication constrained federated learning

Devansh Shah, Parijat Dube, Supriyo Chakraborty +1

Federated learning enables model training over a distributed corpus of agent data. However, the trained model is vulnerable to adversarial examples, designed to elicit misclassific…

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