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Yuhan Yang

6 papers hereh-index 5106 citations19 works total

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

author position
  • first author4
  • middle author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.IT4
  • eess.SP2
same name
  • Yuhan Yang — 28 papers, h 14
  • Yuhan Yang — 2 papers, h 3
  • Yuhan Yang — 2 papers, h 14
  • Yuhan Yang — 1 paper

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
20202026
most citedFast Convergence Algorithm for Analog Federated Learning

6 citations · 7 across the 5 of their papers we have counts for

collaborators
Showing cs.ITShow all

4 papers · 1 filter

cs.IT2026

Secure Joint Source-Channel Coding for the AWGN Channel with Feedback: A Finite Blocklength Analysis

Sheng Su, Yuhan Yang, Chao Qi +3

In the literature, it has been shown that the secrecy capacity of the additive white Gaussian noise (AWGN) wiretap channel with noise-free feedback equals the capacity of the same…

cs.IT2026

Coding for Fading Channels with Imperfect CSI at the Transmitter and Quantized Feedback

Yuhan Yang, Haoheng Yuan, Chao Qi +2

The classical Schalkwijk-Kailath (SK) scheme for the additive Gaussian noise channel with noiseless feedback is highly efficient since its coding complexity is extremely low and th…

cs.IT2025

Coding for Quasi-Static Fading Channel with Imperfect CSI at the Transmitter and Quantized Feedback

Yuhan Yang, Mei Han, Haonan Zhang +3

The classical Schalkwijk-Kailath (SK) scheme for the additive Gaussian noise channel with noiseless feedback is highly efficient since its coding complexity is extremely low and th…

cs.IT2020★ 6 cited

Fast Convergence Algorithm for Analog Federated Learning

Shuhao Xia, Jingyang Zhu, Yuhan Yang +3

In this paper, we consider federated learning (FL) over a noisy fading multiple access channel (MAC), where an edge server aggregates the local models transmitted by multiple end d…

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