Search Results for author: Zeihui Xiong

Found 2 papers, 0 papers with code

Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization

no code implementations28 May 2024 Xiumei Deng, Jun Li, Kang Wei, Long Shi, Zeihui Xiong, Ming Ding, Wen Chen, Shi Jin, H. Vincent Poor

Driven by this issue, we propose a novel sparse FedAdam algorithm called FedAdam-SSM, wherein distributed devices sparsify the updates of local model parameters and moment estimates and subsequently upload the sparse representations to the centralized server.

Federated Learning

Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning

no code implementations15 Oct 2021 Qin Hu, Shengling Wang, Zeihui Xiong, Xiuzhen Cheng

In particular, federated edge learning (FEL) becomes prominent in securing the privacy of data owners by keeping the data locally used to train ML models.

Edge-computing Fairness

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