FedDQ: Communication-efficient federated learning with descending quantization

L Qu, S Song, CY Tsui - GLOBECOM 2022-2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Federated learning (FL) is an emerging learning paradigm without violating users' privacy.
However, large model size and frequent model aggregation cause serious communication …
被引用次数：20 相关文章

FedDQ: Communication-Efficient Federated Learning with Descending Quantization

L Qu, S Song, CY Tsui - arXiv preprint arXiv:2110.02291, 2021 - arxiv.org
Federated learning (FL) is an emerging learning paradigm without violating users' privacy.
However, large model size and frequent model aggregation cause serious communication …

FedDQ: Communication-Efficient Federated Learning with Descending Quantization

L Qu, S Song, CY Tsui - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Federated learning (FL) is an emerging learning paradigm without violating users' privacy.
However, large model size and frequent model aggregation cause serious communication …