Enda Yu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Alternating Least Squares

Weakly Supervised

Top Venues

Comput. Commun.

Publications

Zhe Bai, Enda Yu, Dezun Dong, Pingjing Lu
Enhancing Gradient Compression for Distributed Deep Learning. APNet (2024)
Enda Yu, Dezun Dong, Xiangke Liao
Full-Stack Allreduce on Multi-Rail Networks. CoRR (2024)
Enda Yu, Dezun Dong, Xiangke Liao
Communication Optimization Algorithms for Distributed Deep Learning Systems: A Survey. IEEE Trans. Parallel Distributed Syst. 34 (12) (2023)
Yemao Xu, Dezun Dong, Dongsheng Wang, Shi Xu, Enda Yu, Weixia Xu, Xiangke Liao
SSD-SGD: Communication Sparsification for Distributed Deep Learning Training. ACM Trans. Archit. Code Optim. 20 (1) (2023)
Aoxiang Feng, Dezun Dong, Fei Lei, Junchao Ma, Enda Yu, Ruiqi Wang
In-network aggregation for data center networks: A survey. Comput. Commun. 198 (2023)
Jian Wang, Enda Yu, Dezun Dong, Zhengbin Pang
DNNEmu: A Lightweight Performance Emulator for Distributed DNN Training. ICA3PP (2022)
Enda Yu, Dezun Dong, Yemao Xu, Shuo Ouyang, Xiangke Liao
CP-SGD: Distributed stochastic gradient descent with compression and periodic compensation. J. Parallel Distributed Comput. 169 (2022)
Yanghai Wang, Shuo Ouyang, Dezun Dong, Enda Yu, Xiangke Liao
vSketchDLC: A Sketch on Distributed Deep Learning Communication via Fine-grained Tracing Visualization. NPC (2021)
Enda Yu, Dezun Dong, Yemao Xu, Shuo Ouyang, Xiangke Liao
CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation. ICPP (2021)
Enda Yu, Dezun Dong, Yemao Xu, Shuo Ouyang, Xiangke Liao
CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation. CoRR (2021)