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arXivENNNanyang TechnologicalFederated learning

Hierarchical Federated Learning Incentivization for Gas Usage Estimation

HI-GAS proposes a hierarchical federated learning incentive mechanism for gas usage estimation that rewards participants based on multi-dimensional data quality and model contributions, validated via industrial experiments.

Has Sun, Xiaoli Tang, Chengyi Yang, Zhenpeng Yu and 4 more

Published Jul 1, 2023 · 0 citations

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6/20 AI panelreviewers recommend it

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lenient 5/5
medium 1/10
strict 0/5
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IEEE International Conference on Multimedia and Expo (ICME) 2023ENNFederated learning

SWATM: Contribution-Aware Adaptive Federated Learning Framework Based on Augmented Shapley Values

SWATM improves federated learning aggregation via adaptive temperature-augmented Shapley values with momentum updates, boosting stability, convergence, and F1-score by 2.57%.

Chengyi Yang, Zhaoxiang Hou, Sheng Guo, Hui Chen and 1 more

Published Jul 1, 2023 · 1 citation

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5