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Kinshuk Dua

3 papers here

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

author position
  • sole author2
  • middle author1

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

fields
  • cs.CR1
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedFedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2022★ 1 cited

FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street Views

Renuga Kanagavelu, Kinshuk Dua, Pratik Garai +6

Federated Deep Learning frameworks can be used strategically to monitor Land Use locally and infer environmental impacts globally. Distributed data from across the world would be n…

cs.LG2022

HyBNN and FedHyBNN: (Federated) Hybrid Binary Neural Networks

Kinshuk Dua

Binary Neural Networks (BNNs), neural networks with weights and activations constrained to -1(0) and +1, are an alternative to deep neural networks which offer faster training, low…

cs.CR2022

Implementation of an efficient, portable and platform-agnostic cryptocurrency mining algorithm for Internet of Things devices

Kinshuk Dua

Recently, there has been a remarkable amount of research being done in both, the fields of Blockchain and Internet of Things (IoT). Blockchain technology synergises well with IoT,…

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