Search Results for author: Bin Cao

Found 6 papers, 0 papers with code

SynArtifact: Classifying and Alleviating Artifacts in Synthetic Images via Vision-Language Model

no code implementations28 Feb 2024 Bin Cao, Jianhao Yuan, Yexin Liu, Jian Li, Shuyang Sun, Jing Liu, Bo Zhao

To alleviate artifacts and improve quality of synthetic images, we fine-tune Vision-Language Model (VLM) as artifact classifier to automatically identify and classify a wide range of artifacts and provide supervision for further optimizing generative models.

Image Generation Language Modelling

Secure and Efficient Federated Learning Through Layering and Sharding Blockchain

no code implementations27 Apr 2021 Shuo Yuan, Bin Cao, Yao Sun, Zhiguo Wan, Mugen Peng

Introducing blockchain into Federated Learning (FL) to build a trusted edge computing environment for transmission and learning has attracted widespread attention as a new decentralized learning pattern.

Edge-computing Federated Learning

Towards On-Device Federated Learning: A Direct Acyclic Graph-based Blockchain Approach

no code implementations27 Apr 2021 Mingrui Cao, Long Zhang, Bin Cao

Due to the distributed characteristics of Federated Learning (FL), the vulnerability of global model and coordination of devices are the main obstacle.

Anomaly Detection Federated Learning

Smarnet: Teaching Machines to Read and Comprehend Like Human

no code implementations8 Oct 2017 Zheqian Chen, Rongqin Yang, Bin Cao, Zhou Zhao, Deng Cai, Xiaofei He

Machine Comprehension (MC) is a challenging task in Natural Language Processing field, which aims to guide the machine to comprehend a passage and answer the given question.

Question Answering Reading Comprehension +1

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