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July 19, 2024

Efficient federated knowledge distillation strategy for heterogeneous data in the Internet of Things

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Authors

HZHuiqi ZhaoQXQilin XuanFFFan Fang

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Zhao et al. (2024) studied this question.

synapsesocial.com/papers/68e5fc78b6db64358759078ehttps://doi.org/10.1117/12.3031115
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A Hybrid‐Update Efficient Federated Learning Method Based on Multi‐Teacher Knowledge Distillation in the Internet of Things2025
  2. 2Latency-efficient edge intelligence in IoT networks using knowledge distillation2026
  3. 3Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients2024
  4. 4Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation2024 · 2 citations
  5. 5A Multi-objective Alternating Knowledge Distillation Method for Heterogeneous Federated Learning2026