Lyapunov-Guided Long-Term Fairness-Aware Federated Learning for Collaborative TinyML on Edge Devices (Article in Press)

Date

2024

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Abstract

Description

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

DOI