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

35 standout
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Citing Papers

Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective
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Securing modern power systems: Implementing comprehensive strategies to enhance resilience and reliability against cyber-attacks
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2 intermediate papers

Works of Bong Jun Ko being referenced

Model Pruning Enables Efficient Federated Learning on Edge Devices
2022 Standout

Author Peers

Author Last Decade Papers Cites
Bong Jun Ko 93 176 70 10 274
Yuang Jiang 71 176 52 9 265
Víctor Valls 110 176 104 15 298
Renping Liu 71 234 47 9 283
Dian Shi 130 110 99 12 279
Zeyi Tao 128 126 55 7 276
Jiasi Weng 78 207 58 16 301
Zhida Jiang 75 195 44 11 222
Renwan Bi 56 160 49 13 262
Chenhao Xu 80 207 50 19 314
Yue Xu 101 102 174 10 283

All Works

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2026