Standout Papers

Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems 2020 2026 2022 2024241
  1. Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems (2020)
    Moming Duan, Duo Liu et al. IEEE Transactions on Parallel and Distributed Systems

Immediate Impact

58 standout
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Citing Papers

Edge deep learning in computer vision and medical diagnostics: a comprehensive survey
2025 Standout
A comprehensive and systematic literature review on intrusion detection systems in the internet of medical things: current status, challenges, and opportunities
2025 Standout
2 intermediate papers

Works of Moming Duan being referenced

Federated learning with workload-aware client scheduling in heterogeneous systems
2022
Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems
2020 Standout

Author Peers

Author Last Decade Papers Cites
Moming Duan 318 91 52 58 9 356
Rehma Razzak 283 98 42 57 6 372
Yiqun Diao 318 59 54 38 4 366
Vincent Bindschaedler 304 42 33 64 11 359
Yutao Huang 301 47 45 26 7 354
Lichuan Ma 194 117 69 58 11 322
Virginia Smith 314 114 49 62 13 364
Chenhao Xu 207 80 34 50 19 314
Julien Stainer 366 94 18 34 8 407
Wei‐Han Lee 178 72 26 110 19 360
Peva Blanchard 361 79 18 35 5 394

All Works

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2026