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papers

Publications (8)

Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients

Guangfeng Yan, Shanxiang Lyu, Hanxu Hou +2

Communication Efficient Federated Learning with Adaptive Quantization

Yuzhu Mao, Zihao Zhao, Guangfeng Yan +4

Adaptive Top-K in SGD for Communication-Efficient Distributed Learning

Mengzhe Ruan, Guangfeng Yan, Yuanzhang Xiao +2

Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learning

Guangfeng Yan, Tan Li, Yuanzhang Xiao +2

Truncated Non-Uniform Quantization for Distributed SGD

Guangfeng Yan, Tan Li, Yuanzhang Xiao +2

Killing Two Birds with One Stone: Quantization Achieves Privacy in Distributed Learning

Guangfeng Yan, Tan Li, Kui Wu +1

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning

Guangfeng Yan, Shao-Lun Huang, Tian Lan +1

Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning

Guangfeng Yan, Tan Li, Tian Lan +2