Lyapunov-Guided Long-Term Fairness-Aware Federated Learning for Collaborative TinyML on Edge Devices (Article in Press)
Date
2024
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Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
Description
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Keywords
Computational modeling, Consumer electronics, Data models, Estimation, Federated Learning, long-term fairness, Lyapunov optimization, Optimization, Performance evaluation, tiny machine learning, Training
Citation
Lu, J., Sheng, Y., Cao, S., Elnaffar, S., Saad, M. M., Seid, A. M., & Erbad, A. (2024). Lyapunov-guided long-term fairness-aware federated learning for collaborative TinyML on edge devices. IEEE Transactions on Consumer Electronics, , 1-1. https://doi.org/10.1109/TCE.2024.3397863