Standout Papers

A Survey on Federated Learning for Resource-Constrained IoT Devices 2021 2026 2022 2024372
  1. A Survey on Federated Learning for Resource-Constrained IoT Devices (2021)
    Ahmed Imteaj, Urmish Thakker et al. IEEE Internet of Things Journal

Immediate Impact

67 standout
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Citing Papers

From challenges and pitfalls to recommendations and opportunities: Implementing federated learning in healthcare
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Transfer learning for intelligent design of lightweight Strain-Hardening Ultra-High-Performance Concrete (SH-UHPC)
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3 intermediate papers

Works of Urmish Thakker being referenced

A Survey on Federated Learning for Resource-Constrained IoT Devices
2021 Standout

Author Peers

Author Last Decade Papers Cites
Urmish Thakker 140 19 292 77 2 376
Rehma Razzak 98 22 283 57 6 372
Yong Zhang 96 33 352 47 9 438
Kaiwen He 83 44 219 65 6 356
Moming Duan 91 23 1 318 58 9 356
Yiqun Diao 59 35 1 318 38 4 366
Ruxia Sun 128 26 14 236 61 9 370
Haya Elayan 128 36 135 48 8 406
Anna Moss 182 43 1 141 52 2 444
Peva Blanchard 79 25 1 361 35 5 394
Yan Qiang 95 31 335 50 9 453

All Works

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2026