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Hongda Wu

2 papers here

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

author position
  • first author2

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

fields
  • cs.LG1
  • cs.NI1

identity via Semantic Scholar / OpenAlex

most citedFast-Convergent Federated Learning with Adaptive Weighting

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

collaborators

2 papers

cs.NI2022

A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks with Transient Data

Hongda Wu, Ali Nasehzadeh, Ping Wang

The Internet of Things (IoT) has been continuously rising in the past few years, and its potentials are now more apparent. However, transient data generation and limited energy res…

cs.LG2020★ 8 cited

Fast-Convergent Federated Learning with Adaptive Weighting

Hongda Wu, Ping Wang

Federated learning (FL) enables resource-constrained edge nodes to collaboratively learn a global model under the orchestration of a central server while keeping privacy-sensitive…

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