Standout Papers

Model Pruning Enables Efficient Federated Learning on Edge Devices 2022 2026 2023 2024226
  1. Model Pruning Enables Efficient Federated Learning on Edge Devices (2022)
    Yuang Jiang, Shiqiang Wang et al. IEEE Transactions on Neural Networks and Learning Systems

Immediate Impact

36 standout
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Citing Papers

Edge deep learning in computer vision and medical diagnostics: a comprehensive survey
2025 Standout
From challenges and pitfalls to recommendations and opportunities: Implementing federated learning in healthcare
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2 intermediate papers

Works of Yuang Jiang being referenced

Model Pruning Enables Efficient Federated Learning on Edge Devices
2022 Standout

Author Peers

Author Last Decade Papers Cites
Yuang Jiang 176 71 52 9 265
Bong Jun Ko 176 93 70 10 274
Víctor Valls 176 110 104 15 298
Zhihao Lin 149 27 28 11 230
Zhida Jiang 195 75 44 11 222
Jiangming Jin 165 104 60 11 279
Renwan Bi 160 56 49 13 262
Anbu Huang 220 35 38 6 262
Yunfeng Zhao 86 48 33 13 214
Dian Shi 110 130 99 12 279
Renping Liu 234 71 47 9 283

All Works

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2026