Li Tian

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All published works

Action	Title	Year	Authors
+	Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing	2021	Mikhail Khodak Renbo Tu Li Tian Liam Li Maria-Florina Balcan Virginia Smith Ameet Talwalkar
+	Federated Multi-Task Learning for Competing Constraints.	2020	Li Tian Shengyuan Hu Ahmad Beirami Virginia Smith

Common Coauthors

Coauthor	Papers Together
Virginia Smith	2
Mikhail Khodak	1
Ahmad Beirami	1
Ameet Talwalkar	1
Renbo Tu	1
Liam Li	1
Maria-Florina Balcan	1
Shengyuan Hu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Personalized Federated Learning: A Meta-Learning Approach	2020	Alireza Fallah Aryan Mokhtari Asuman Ozdaglar	2
+	Practical Bayesian Optimization of Machine Learning Algorithms	2012	Jasper Snoek Hugo Larochelle Ryan P. Adams	1
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	1
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	1
+ PDF Chat	A PAC Approach to Application-Specific Algorithm Selection	2017	Rishi Gupta Tim Roughgarden	1
+	Learning Differentially Private Recurrent Language Models	2017	H. Brendan McMahan Daniel Ramage Kunal Talwar Li Zhang	1
+	Federated Meta-Learning for Recommendation	2018	Fei Chen Zhenhua Dong Zhenguo Li Xiuqiang He	1
+	Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates	2018	Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett	1
+	How To Backdoor Federated Learning	2018	Eugene Bagdasaryan Andreas Veit Yiqing Hua Deborah Estrin Vitaly Shmatikov	1
+	LEAF: A Benchmark for Federated Settings	2018	Sebastian Caldas Peter Wu Li Tian Jakub Konečný H. Brendan McMahan Virginia Smith Ameet Talwalkar	1
+	Learning Rate Adaptation for Federated and Differentially Private Learning	2018	Antti Koskela Antti Honkela	1
+	Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks	2019	Mingchen Li Mahdi Soltanolkotabi Samet Oymak	1
+	Poisoning Attacks against Support Vector Machines	2012	Battista Biggio Blaine Nelson Pavel Laskov	1
+ PDF Chat	Searching for a Robust Neural Architecture in Four GPU Hours	2019	Xuanyi Dong Yi Yang	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware	2018	Han Cai Ligeng Zhu Song Han	1
+	Random Search and Reproducibility for Neural Architecture Search	2019	Liam Li Ameet Talwalkar	1
+	Adaptive Gradient-Based Meta-Learning Methods	2019	Mikhail Khodak Maria-Florina Balcan Ameet Talwalkar	1
+	Improving Federated Learning Personalization via Model Agnostic Meta Learning	2019	Yihan Jiang Jakub Konečný Keith Rush Sreeram Kannan	1
+	StacNAS: Towards Stable and Consistent Differentiable Neural Architecture Search	2019	Guilin Li Xing Zhang Zitong Wang Zhenguo Li Tong Zhang	1
+	Differentially Private Meta-Learning	2019	Jeffrey Li Mikhail Khodak Sebastian Caldas Ameet Talwalkar	1
+	Robust Federated Learning Through Representation Matching and Adaptive Hyper-parameters	2019	Hesham Mostafa	1
+	Three Approaches for Personalization with Applications to Federated Learning	2020	Yishay Mansour Mehryar Mohri Jae Hun Ro Ananda Theertha Suresh	1
+	MetaPoison: Practical General-purpose Clean-label Data Poisoning	2020	Wei Huang Jonas Geiping Liam Fowl Gavin Taylor Tom Goldstein	1
+	An Efficient Framework for Clustered Federated Learning	2020	Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran	1
+ PDF Chat	Meta-Learning of Neural Architectures for Few-Shot Learning	2020	Thomas Elsken Benedikt Staffler Jan Hendrik Metzen Frank Hutter	1
+	SCAFFOLD: Stochastic Controlled Averaging for Federated Learning	2019	Sai Praneeth Karimireddy Satyen Kale Mehryar Mohri Sashank J. Reddi Sebastian U. Stich Ananda Theertha Suresh	1
+	Federated Optimization in Heterogeneous Networks	2018	Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	1
+	Attack of the Tails: Yes, You Really Can Backdoor Federated Learning	2020	Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos	1
+	Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search	2020	Chaoyang He Murali Annavaram Salman Avestimehr	1
+ PDF Chat	Federated Learning: Challenges, Methods, and Future Directions	2020	Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith	1
+	Adaptive Federated Optimization	2021	Sashank J. Reddi Zachary Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konečný Sanjiv Kumar H. Brendan McMahan	1
+	Geometry-Aware Gradient Algorithms for Neural Architecture Search	2020	Liam Li Mikhail Khodak Nina Balcan Ameet Talwalkar	1
+ PDF Chat	Deep Learning Face Attributes in the Wild	2015	Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang	1
+	Ditto: Fair and Robust Federated Learning Through Personalization	2020	Tian Li Shengyuan Hu Ahmad Beirami Virginia Smith	1