Tian Li
Title
Cited by
Cited by
Year
Federated Learning: Challenges, Methods, and Future Directions
T Li, AK Sahu, A Talwalkar, V Smith
IEEE Signal Processing Magazine 37 (3), 50-60, 2020
2222020
Federated optimization in heterogeneous networks
T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith
arXiv preprint arXiv:1812.06127, 2018
1452018
LEAF: A Benchmark for Federated Settings
S Caldas, P Wu, T Li, J Konečnż, HB McMahan, V Smith, A Talwalkar
arXiv preprint arXiv:1812.01097, 2018
982018
Fair resource allocation in federated learning
T Li, M Sanjabi, A Beirami, V Smith
arXiv preprint arXiv:1905.10497, 2019
492019
Ease. ml: towards multi-tenant resource sharing for machine learning workloads
T Li, J Zhong, J Liu, W Wu, C Zhang
Proceedings of the VLDB Endowment 11 (5), 607-620, 2018
362018
Feddane: A federated newton-type method
T Li, AK Sahu, M Zaheer, M Sanjabi, A Talwalkar, V Smith
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1227-1231, 2019
102019
An overreaction to the broken machine learning abstraction: The ease. ml vision
C Zhang, W Wu, T Li
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 1-6, 2017
72017
Enhancing the Privacy of Federated Learning with Sketching
Z Liu, T Li, V Smith, V Sekar
arXiv preprint arXiv:1911.01812, 2019
62019
Learning Context-Aware Policies from Multiple Smart Homes via Federated Multi-Task Learning
T Yu, T Li, Y Sun, S Nanda, V Smith, V Sekar, S Seshan
2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design …, 2020
22020
Tilted Empirical Risk Minimization
T Li, A Beirami, M Sanjabi, V Smith
arXiv preprint arXiv:2007.01162, 2020
2020
CUTE: Querying Knowledge Graphs by Tabular Examples
Z Wang, T Li, Y Shao, B Cui
Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2018
2018
Weight-Sharing for Hyperparameter Optimization in Federated Learning
M Khodak, T Li, L Li, MF Balcan, V Smith, A Talwalkar
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Articles 1–12