‪Dai Liu‬ - ‪Google Scholar‬

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Co-authors

Martin SchulzTechnical University of MunichVerified email at in.tum.de
Alois KnollTechnische Universität MünchenVerified email at in.tum.de
Dave Zhenyu ChenPhD Student, Technical University of MunichVerified email at tum.de
Andreas FestagProfessor Vehicle Safety and Car2X at Technische Hochschule Ingolstadt (THI)Verified email at festag-net.de

Dai Liu

Dai Liu

Munich Technical University

Verified email at tum.de

Network Compression Dataset Distillation AI on Hardware AI and systems


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Federated learning via decentralized dataset distillation in resource-constrained edge environments R Song, D Liu, DZ Chen, A Festag, C Trinitis, M Schulz, A Knoll 2023 International Joint Conference on Neural Networks (IJCNN), 1-10, 2023	34	2023
Orchestrated co-scheduling, resource partitioning, and power capping on CPU-GPU heterogeneous systems via machine learning I Saba, E Arima, D Liu, M Schulz International Conference on Architecture of Computing Systems, 51-67, 2022	6*	2022
Hierarchical Resource Partitioning on Modern GPUs: A Reinforcement Learning Approach U Saroliya, E Arima, D Liu, M Schulz 2023 IEEE International Conference on Cluster Computing (CLUSTER), 185-196, 2023	1	2023

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