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researcher

S. Waghmare

2 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedFedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients

8 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 1 cited

Efficient Image Representation Learning with Federated Sampled Softmax

Sagar M. Waghmare, Hang Qi, Huizhong Chen +2

Learning image representations on decentralized data can bring many benefits in cases where data cannot be aggregated across data silos. Softmax cross entropy loss is highly effect…

cs.LG2022★ 8 cited

FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients

Jianyu Wang, Hang Qi, Ankit Singh Rawat +4

In classical federated learning, the clients contribute to the overall training by communicating local updates for the underlying model on their private data to a coordinating serv…

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