Search Results for author: Yuxuan Sun

Found 8 papers, 2 papers with code

Coded Computation across Shared Heterogeneous Workers with Communication Delay

no code implementations23 Sep 2021 Yuxuan Sun, Fan Zhang, Junlin Zhao, Sheng Zhou, Zhisheng Niu, Deniz Gündüz

In this work, we consider a multi-master heterogeneous-worker distributed computing scenario, where multiple matrix multiplication tasks are encoded and allocated to workers for parallel computation.

Distributed Computing

Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints

no code implementations31 May 2021 Yuxuan Sun, Sheng Zhou, Zhisheng Niu, Deniz Gündüz

In this work, we consider an over-the-air FEEL system with analog gradient aggregation, and propose an energy-aware dynamic device scheduling algorithm to optimize the training performance under energy constraints of devices, where both communication energy for gradient aggregation and computation energy for local training are included.

droidlet: modular, heterogenous, multi-modal agents

1 code implementation25 Jan 2021 Anurag Pratik, Soumith Chintala, Kavya Srinet, Dhiraj Gandhi, Rebecca Qian, Yuxuan Sun, Ryan Drew, Sara Elkafrawy, Anoushka Tiwari, Tucker Hart, Mary Williamson, Abhinav Gupta, Arthur Szlam

In recent years, there have been significant advances in building end-to-end Machine Learning (ML) systems that learn at scale.

RIVA: A Pre-trained Tweet Multimodal Model Based on Text-image Relation for Multimodal NER

no code implementations COLING 2020 Lin Sun, Jiquan Wang, Yindu Su, Fangsheng Weng, Yuxuan Sun, Zengwei Zheng, Yuanyi Chen

In the multimodal NER task, the experimental results show the significance of text-related visual features for the visual-linguistic model and our approach achieves SOTA performance on the MNER datasets.

Named Entity Recognition NER +1

ROI Pooled Correlation Filters for Visual Tracking

1 code implementation CVPR 2019 Yuxuan Sun, Chong Sun, Dong Wang, You He, Huchuan Lu

The ROI (region-of-interest) based pooling method performs pooling operations on the cropped ROI regions for various samples and has shown great success in the object detection methods.

Object Detection Visual Tracking

Energy-Aware Analog Aggregation for Federated Learning with Redundant Data

no code implementations1 Nov 2019 Yuxuan Sun, Sheng Zhou, Deniz Gündüz

In this work, we consider analog aggregation to scale down the communication cost with respect to the number of workers, and introduce data redundancy to the system to deal with non-i. i. d.

Federated Learning

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