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Chengxi Li 0015
Person information
- affiliation: KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science, Stockholm, Sweden
Other persons with the same name
- Chengxi Li 0001 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Chengxi Li 0002 — Zhejiang University, China
- Chengxi Li 0003 — Massachusetts Institute of Technology, Department of Mechanical Engineering, Cambridge, MA, USA
- Chengxi Li 0004 — Nanjing University of Science and Technology, School of Mechanical Engineering, China
- Chengxi Li 0005 — University of Kentucky, Lexington, KY, USA
- Chengxi Li 0006 — Honda Research Institute USA, San Jose, CA, USA (and 1 more)
- Chengxi Li 0007 — La Salle College Preparatory, Pasadena, CA, USA
- Chengxi Li 0008 — Hong Kong Polytechnic University, Department of Mechanical Engineering, Hong Kong
- Chengxi Li 0009 — Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems, Beijing Key Laboratory of Micro-Nano Energy and Sensor, China (and 1 more)
- Chengxi Li 0010 — Xidian University, School of Computer, Xi'an, China
- Chengxi Li 0011 — University of Hong Kong, Hong Kong
- Chengxi Li 0012 — Shanghai University, School of Mechatronic Engineering and Automation, China
- Chengxi Li 0013 — City University of Hong Kong, Hong Kong
- Chengxi Li 0014 — Alibaba Group, China
- Chengxi Li 0016 — Wuhan University of Technology, China
- Chengxi Li 0017 — Ocean University of China, Faculty of Information Science and Engineering, Qingdao, China
- Chengxi Li 0018 — Carnegie Mellon University, Pittsburgh, PA, USA
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2020 – today
- 2024
- [c1]Chengxi Li, Mikael Skoglund:
Gradient Coding in Decentralized Learning for Evading Stragglers. EUSIPCO 2024: 1821-1825 - [i3]Chengxi Li, Mikael Skoglund:
Gradient Coding in Decentralized Learning for Evading Stragglers. CoRR abs/2402.04193 (2024) - [i2]Chengxi Li, Mikael Skoglund:
Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers. CoRR abs/2403.14716 (2024) - [i1]Chengxi Li, Ming Xiao, Mikael Skoglund:
Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation. CoRR abs/2403.14905 (2024)
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last updated on 2024-11-06 21:31 CET by the dblp team
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