Search Results for author: Zhili Chen

Found 14 papers, 6 papers with code

DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release

1 code implementation23 Nov 2023 Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran

Motivated by this, this paper proposes DPSUR, a Differentially Private training framework based on Selective Updates and Release, where the gradient from each iteration is evaluated based on a validation test, and only those updates leading to convergence are applied to the model.

Privacy Preserving

PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving

no code implementations14 Nov 2023 Zhili Chen, Maosheng Ye, Shuangjie Xu, Tongyi Cao, Qifeng Chen

Unlike existing end-to-end autonomous driving frameworks, PPAD models the interactions among ego, agents, and the dynamic environment in an autoregressive manner by interleaving the Prediction and Planning processes at every timestep, instead of a single sequential process of prediction followed by planning.

Autonomous Driving Motion Planning +1

ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations

no code implementations21 Aug 2023 XinPeng Ling, Jie Fu, Kuncan Wang, Haitao Liu, Zhili Chen

Federated Learning (FL) is a distributed machine learning technique that allows model training among multiple devices or organizations by sharing training parameters instead of raw data.

Federated Learning

Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise

no code implementations29 Nov 2022 Jie Fu, Zhili Chen, Xiao Han

The heterogeneity and convergence of training parameters were simply not considered.

Federated Learning

SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing

no code implementations14 Nov 2022 Jie Fu, Zhili Chen, XinPeng Ling

Differentially private stochastic gradient descent (DPSGD) is the most popular training method with differential privacy in image recognition.

Image Classification

Point Cloud Compression with Sibling Context and Surface Priors

1 code implementation2 May 2022 Zhili Chen, Zian Qian, Sukai Wang, Qifeng Chen

We present a novel octree-based multi-level framework for large-scale point cloud compression, which can organize sparse and unstructured point clouds in a memory-efficient way.

Intuitive, Interactive Beard and Hair Synthesis with Generative Models

1 code implementation CVPR 2020 Kyle Olszewski, Duygu Ceylan, Jun Xing, Jose Echevarria, Zhili Chen, Weikai Chen, Hao Li

We present an interactive approach to synthesizing realistic variations in facial hair in images, ranging from subtle edits to existing hair to the addition of complex and challenging hair in images of clean-shaven subjects.

Learning to Reconstruct 3D Manhattan Wireframes from a Single Image

2 code implementations ICCV 2019 Yichao Zhou, Haozhi Qi, Yuexiang Zhai, Qi Sun, Zhili Chen, Li-Yi Wei, Yi Ma

In this paper, we propose a method to obtain a compact and accurate 3D wireframe representation from a single image by effectively exploiting global structural regularities.

Probabilistic Matrix Factorization with Personalized Differential Privacy

no code implementations19 Oct 2018 Shun Zhang, Laixiang Liu, Zhili Chen, Hong Zhong

The results show that the PDP-PMF scheme performs well on protecting the privacy of each user and its recommendation quality is much better than the DP-PMF scheme.

Recommendation Systems

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