Junyi Li

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All published works

Action	Title	Year	Authors
+	FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging	2023	Junyi Li Feihu Huang Heng Huang
+	Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems	2023	Junyi Li Feihu Huang Heng Huang
+	Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models	2023	Hongli Zhan Desmond C. Ong Junyi Li
+ PDF Chat	Communication-Efficient Robust Federated Learning with Noisy Labels	2022	Junyi Li Jian Pei Heng Huang
+	Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction	2022	Junyi Li Feihu Huang Heng Huang
+	FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings	2022	Junyi Li Heng Huang
+	Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning.	2021	Feihu Huang Junyi Li Heng Huang
+	Compositional federated learning: Applications in distributionally robust averaging and meta learning	2021	Feihu Huang Junyi Li

Common Coauthors

Coauthor	Papers Together
Heng Huang	6
Feihu Huang	4
Desmond C. Ong	1
Feihu Huang	1
Jian Pei	1
Hongli Zhan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Variance Reduced Local SGD with Lower Communication Complexity	2019	Xianfeng Liang Shuheng Shen Jingchang Liu Zhen Pan Enhong Chen Yifei Cheng	2
+	On the Convergence of Federated Optimization in Heterogeneous Networks.	2018	Anit Kumar Sahu Tian Li Maziar Sanjabi Manzil Zaheer Ameet Talwalkar Virginia Smith	2
+	Measuring nominal scale agreement among many raters.	1971	Joseph L. Fleiss	1
+	Sketching as a Tool for Numerical Linear Algebra	2014	David P. Woodruff	1
+	Hyperparameter optimization with approximate gradient	2016	Fabián Pedregosa	1
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	1
+	TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning	2017	Wei Wen Cong Xu Feng Yan Chunpeng Wu Yandan Wang Yiran Chen Hai Li	1
+	DENS: A Dataset for Multi-class Emotion Analysis	2019	Chen Liu Muhammad Osama Anderson de Andrade	1
+	Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training	2017	Yujun Lin Song Han Huizi Mao Yu Wang William J. Dally	1
+	Stochastic Hyperparameter Optimization through Hypernetworks	2018	Jonathan Lorraine David Duvenaud	1
+	Approximation Methods for Bilevel Programming	2018	Saeed Ghadimi Mengdi Wang	1
+	Reviving and Improving Recurrent Back-Propagation	2018	Renjie Liao Yuwen Xiong Ethan Fetaya Lisa Zhang Kijung Yoon Xaq Pitkow Raquel Urtasun Richard S. Zemel	1
+	Federated Learning with Non-IID Data	2018	Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra	1
+	Improved Sample Complexity for Stochastic Compositional Variance Reduced Gradient	2018	Tianyi Lin Chenyou Fan Mengdi Wang Michael I. Jordan	1
+ PDF Chat	Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach	2017	Giorgio Patrini Alessandro Rozza Aditya Krishna Menon Richard Nock Lizhen Qu	1
+ PDF Chat	Joint Optimization Framework for Learning with Noisy Labels	2018	Daiki Tanaka Daiki Ikami Toshihiko Yamasaki Kiyoharu Aizawa	1
+	Agnostic Federated Learning	2019	Mehryar Mohri Gary Sivek Ananda Theertha Suresh	1
+	Federated Optimization in Heterogeneous Networks	2018	Li Tian Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	1
+	Fast Context Adaptation via Meta-Learning	2018	Luisa Zintgraf Kyriacos Shiarlis Vitaly Kurin Katja Hofmann Shimon Whiteson	1
+	BERTScore: Evaluating Text Generation with BERT	2019	Tianyi Zhang Varsha Kishore Felix Wu Kilian Q. Weinberger Yoav Artzi	1
+	Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting	2019	Jun Shu Qi Xie Lixuan Yi Qian Zhao Sanping Zhou Zongben Xu Deyu Meng	1
+	Error Feedback Fixes SignSGD and other Gradient Compression Schemes	2019	Sai Praneeth Karimireddy Quentin Rebjock Sebastian U. Stich Martin Jaggi	1
+	DARTS: Differentiable Architecture Search	2018	Hanxiao Liu Karen Simonyan Yiming Yang	1
+	Provable Guarantees for Gradient-Based Meta-Learning	2019	Mikhail Khodak Maria-Florina Balcan Ameet Talwalkar	1
+	On the Convergence of FedAvg on Non-IID Data	2019	Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang	1
+ PDF Chat	Adaptive Federated Learning in Resource Constrained Edge Computing Systems	2019	Shiqiang Wang Tiffany Tuor Theodoros Salonidis Kin K. Leung Christian Makaya Ting He Kevin Chan	1
+	Learning to learn by gradient descent by gradient descent	2016	Marcin Andrychowicz Misha Denil Sergio Luis Suárez Gómez Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas	1
+ PDF Chat	Artificial intelligence and statistics	2018	Bin Yu Karl Kumbier	1
+ PDF Chat	Explaining Explanations: An Overview of Interpretability of Machine Learning	2018	Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal	1
+	Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization	2017	Zhouyuan Huo Bin Gu Ji Liu Heng Huang	1
+ PDF Chat	Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning	2019	Hao Yu Sen Yang Shenghuo Zhu	1
+ PDF Chat	A First Order Method for Solving Convex Bilevel Optimization Problems	2017	Shoham Sabach Shimrit Shtern	1
+	The Space Complexity of Approximating the Frequency Moments	1999	Noga Alon Yossi Matias Márió Szegedy	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1
+	Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification	2019	Harry Chia-Hung Hsu Hang Qi Matthew A. Brown	1
+	Improving Federated Learning Personalization via Model Agnostic Meta Learning	2019	Yihan Jiang Jakub Konečný Keith Rush Sreeram Kannan	1
+	SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum	2019	Jianyu Wang Vinayak Tantia Nicolas Ballas Michael Rabbat	1
+	ES-MAML: Simple Hessian-Free Meta Learning	2019	Xingyou Song Wenbo Gao Yuxiang Yang Krzysztof Choromański Aldo Pacchiano Yunhao Tang	1
+	Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization	2019	Farzin Haddadpour Mohammad Mahdi Kamani Mehrdad Mahdavi Viveck R. Cadambe	1
+	On the Convergence of Local Descent Methods in Federated Learning	2019	Farzin Haddadpour Mehrdad Mahdavi	1
+	Penalty Method for Inversion-Free Deep Bilevel Optimization	2019	Akshay Mehra Jihun Hamm	1
+ PDF Chat	Modeling Emotion in Complex Stories: The Stanford Emotional Narratives Dataset	2019	Desmond C. Ong Zhengxuan Wu Tan Zhi-Xuan Marianne C. Reddan Isabella Kahhalé Alison M. Mattek Jamil Zaki	1
+	Federated Meta-Learning with Fast Convergence and Efficient Communication	2018	Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He	1
+ PDF Chat	Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions	2016	Mengdi Wang Ethan X. Fang Han Liu	1
+	FOCUS: Dealing with Label Quality Disparity in Federated Learning	2020	Yiqiang Chen Xiaodong Yang Xin Qin Han Yu Biao Chen Zhiqi Shen	1
+	Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee	2019	Runxue Bao Bin Gu Heng Huang	1
+	Compositional ADAM: An Adaptive Compositional Solver	2020	Rasul Tutunov Minne Li Jun Wang Haitham Bou-Ammar	1
+	Provably Convergent Policy Gradient Methods for Model-Agnostic Meta-Reinforcement Learning	2020	Alireza Fallah Aryan Mokhtari Asuman Ozdaglar	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
+	Free-Marginal Multirater Kappa (multirater K[free]): An Alternative to Fleiss' Fixed-Marginal Multirater Kappa.	2005	Justus Randolph	1