Search Results for author: Yanxiang Zhang

Found 5 papers, 1 papers with code

Proofread: Fixes All Errors with One Tap

no code implementations6 Jun 2024 Renjie Liu, Yanxiang Zhang, Yun Zhu, Haicheng Sun, Yuanbo Zhang, Michael Xuelin Huang, Shanqing Cai, Lei Meng, Shumin Zhai

To obtain models with sufficient quality, we implement a careful data synthetic pipeline tailored to online use cases, design multifaceted metrics, employ a two-stage tuning approach to acquire the dedicated LLM for the feature: the Supervised Fine Tuning (SFT) for foundational quality, followed by the Reinforcement Learning (RL) tuning approach for targeted refinement.

Quantization Reinforcement Learning (RL) +2

Prompt Public Large Language Models to Synthesize Data for Private On-device Applications

no code implementations5 Apr 2024 Shanshan Wu, Zheng Xu, Yanxiang Zhang, Yuanbo Zhang, Daniel Ramage

Pre-training on public data is an effective method to improve the performance for federated learning (FL) with differential privacy (DP).

Federated Learning

Efficient Language Model Architectures for Differentially Private Federated Learning

no code implementations12 Mar 2024 Jae Hun Ro, Srinadh Bhojanapalli, Zheng Xu, Yanxiang Zhang, Ananda Theertha Suresh

Cross-device federated learning (FL) is a technique that trains a model on data distributed across typically millions of edge devices without data leaving the devices.

Computational Efficiency Federated Learning +1

MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds

no code implementations20 Mar 2023 Xiaoting Wang, Yanxiang Zhang, Yongzhe Zhang

Spiking neural networks (SNNs), as a biology-inspired method mimicking the spiking nature of brain neurons, is a promising energy-efficient alternative to the traditional artificial neural networks (ANNs).

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