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Songyang Zhang — most-cited papers & profile · Federated Learning
← authors
·
overview
Songyang Zhang
25
papers ·
202
citations ·
30
h-index
Suzhou University of Science and Technology · Ankang City Central Hospital
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy
2023 · 3 citations
Towards Efficient Federated Learning of Networked Mixture-of-Experts for Mobile Edge Computing
2025
Efficient Multi-Worker Selection based Distributed Swarm Learning via Analog Aggregation
2025
Multi-Worker Selection based Distributed Swarm Learning for Edge IoT with Non-i.i.d. Data
2025
Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach
2025
UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data
2023
PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning
2023
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
2024
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game
2024
Top co-authors
Achintha Wijesinghe
· 3
Xiangwei Zhou
· 3
Zhi Ding
· 3
Shuai Zhang
· 2
Shusen Jing
· 2
Yingshu Li
· 2
Yue Wang
· 2
and Geoffrey Ye Li
· 1
Anlan Yu
· 1
Boyang Zhang
· 1
Mingxuan Sun
· 1
Mingxuan Sun
· 1
Topics
Federated Learning
Privacy
Optimization
Communication
Data Heterogeneity
Edge Computing
Security
Adversarial Attacks