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Stochastic Gradient Coding for Straggler Mitigation in Distributed Learning
Bitar, Rawad, Wootters, Mary, El Rouayheb, Salim
Published in IEEE journal on selected areas in information theory (01.05.2020)
Published in IEEE journal on selected areas in information theory (01.05.2020)
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Journal Article
Towards provably efficient quantum algorithms for large-scale machine-learning models
Liu, Junyu, Liu, Minzhao, Liu, Jin-Peng, Ye, Ziyu, Wang, Yunfei, Alexeev, Yuri, Eisert, Jens, Jiang, Liang
Published in Nature communications (10.01.2024)
Published in Nature communications (10.01.2024)
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Journal Article
A hybrid training algorithm based on gradient descent and evolutionary computation
Xue, Yu, Tong, Yiling, Neri, Ferrante
Published in Applied intelligence (Dordrecht, Netherlands) (01.09.2023)
Published in Applied intelligence (Dordrecht, Netherlands) (01.09.2023)
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Journal Article
Smart Machining Process Using Machine Learning: A Review and Perspective on Machining Industry
Kim, Dong-Hyeon, Kim, Thomas J. Y., Wang, Xinlin, Kim, Mincheol, Quan, Ying-Jun, Oh, Jin Woo, Min, Soo-Hong, Kim, Hyungjung, Bhandari, Binayak, Yang, Insoon, Ahn, Sung-Hoon
Published in International Journal of Precision Engineering and Manufacturing-Green Technology, 5(4) (01.08.2018)
Published in International Journal of Precision Engineering and Manufacturing-Green Technology, 5(4) (01.08.2018)
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Journal Article
Push-LSVRG-UP: Distributed Stochastic Optimization Over Unbalanced Directed Networks With Uncoordinated Triggered Probabilities
Hu, Jinhui, Chen, Guo, Li, Huaqing, Shen, Zixiang, Zhang, Weidong
Published in IEEE transactions on network science and engineering (01.03.2023)
Published in IEEE transactions on network science and engineering (01.03.2023)
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Journal Article
Classifying and analyzing small‐angle scattering data using weighted k nearest neighbors machine learning techniques
Archibald, Richard K., Doucet, Mathieu, Johnston, Travis, Young, Steven R., Yang, Erika, Heller, William T.
Published in Journal of applied crystallography (01.04.2020)
Published in Journal of applied crystallography (01.04.2020)
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Journal Article
Cooperative Computation Offloading and Resource Allocation for Blockchain-Enabled Mobile-Edge Computing: A Deep Reinforcement Learning Approach
Feng, Jie, Richard Yu, F., Pei, Qingqi, Chu, Xiaoli, Du, Jianbo, Zhu, Li
Published in IEEE internet of things journal (01.07.2020)
Published in IEEE internet of things journal (01.07.2020)
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Journal Article
Adaptive Alternating Stochastic Gradient Descent Algorithms for Large-Scale Latent Factor Analysis
Qin, Wen, Luo, Xin, Zhou, MengChu
Published in Proceedings of the ... IEEE International Conference on Services Computing (01.09.2021)
Published in Proceedings of the ... IEEE International Conference on Services Computing (01.09.2021)
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Conference Proceeding
SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments
Putra, Rachmad Vidya Wicaksana, Shafique, Muhammad
Published in 2021 58th ACM/IEEE Design Automation Conference (DAC) (05.12.2021)
Published in 2021 58th ACM/IEEE Design Automation Conference (DAC) (05.12.2021)
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Conference Proceeding
Large-Scale Nonlinear AUC Maximization via Triply Stochastic Gradients
Dang, Zhiyuan, Li, Xiang, Gu, Bin, Deng, Cheng, Huang, Heng
Published in IEEE transactions on pattern analysis and machine intelligence (01.03.2022)
Published in IEEE transactions on pattern analysis and machine intelligence (01.03.2022)
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Journal Article
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge IoT
Lei, Wanlu, Ye, Yu, Xiao, Ming, Skoglund, Mikael, Han, Zhu
Published in IEEE internet of things journal (15.11.2022)
Published in IEEE internet of things journal (15.11.2022)
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Journal Article
EventGraD: Event-Triggered Communication in Parallel Stochastic Gradient Descent
Ghosh, Soumyadip, Gupta, Vijay
Published in 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) and Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S) (01.11.2020)
Published in 2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) and Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S) (01.11.2020)
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Conference Proceeding
An Imitative Reinforcement Learning Framework for Pursuit-Lock-Launch Missions
Li, Siyuan, Zuo, Rongchang, Liu, Bofei, He, Yaoyu, Liu, Peng, Zhao, Yingnan
Published in ACM transactions on autonomous and adaptive systems (24.07.2025)
Published in ACM transactions on autonomous and adaptive systems (24.07.2025)
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Journal Article
FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control
Ye, Yutong, Zhao, Wupan, Wei, Tongquan, Hu, Shiyan, Chen, Mingsong
Published in 2021 58th ACM/IEEE Design Automation Conference (DAC) (05.12.2021)
Published in 2021 58th ACM/IEEE Design Automation Conference (DAC) (05.12.2021)
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Conference Proceeding