Flint Xiaofeng Fan

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All published works

Action	Title	Year	Authors
+ PDF Chat	FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF	2024	Flint Xiaofeng Fan Cheston Tan Yew-Soon Ong Roger Wattenhofer Wei Tsang Ooi
+ PDF Chat	SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems	2024	Nathan Corecco Giorgio Piatti Luca A. Lanzendörfer Flint Xiaofeng Fan Roger Wattenhofer
+ PDF Chat	An LLM-based Recommender System Environment	2024	Nathan Corecco Giorgio Piatti Luca A. Lanzendörfer Flint Xiaofeng Fan Roger Wattenhofer
+ PDF Chat	CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening	2024	Hei Yi Mak Flint Xiaofeng Fan Luca A. Lanzendörfer Cheston Tan Wei Tsang Ooi Roger Wattenhofer
+	Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence	2024	Philip Jordan Florian Grötschla Flint Xiaofeng Fan Roger Wattenhofer
+	FedHQL: Federated Heterogeneous Q-Learning	2023	Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Cheston Tan Bryan Kian Hsiang Low Roger Wattenhofer
+	Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning	2023	Xinyang Lu Flint Xiaofeng Fan Tianying Wang
+	Federated Neural Bandits	2022	Zhongxiang Dai Yao Shu Arun Verma Flint Xiaofeng Fan Bryan Kian Hsiang Low Patrick Jaillet
+	Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee	2021	Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Wei Jing Cheston Tan Bryan Kian Hsiang Low
+	Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee	2021	Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Jing Wei Cheston Tan Bryan Kian Hsiang Low

Common Coauthors

Coauthor	Papers Together
Roger Wattenhofer	6
Cheston Tan	5
Zhongxiang Dai	4
Bryan Kian Hsiang Low	4
Nathan Corecco	2
Luca A. Lanzendörfer	2
Giorgio Piatti	2
Yining Ma	2
Wei Tsang Ooi	2
Xinyang Lu	1
Wei Jing	1
Philip Jordan	1
Yao Shu	1
Patrick Jaillet	1
Tianying Wang	1
Florian Grötschla	1
Yew-Soon Ong	1
Yining Ma	1
Hei Yi Mak	1
Luca A. Lanzendörfer	1
Jing Wei	1
Arun Verma	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Optimum Bounds for the Distributions of Martingales in Banach Spaces	1994	Iosif Pinelis	1
+ PDF Chat	A Proximal Stochastic Gradient Method with Progressive Variance Reduction	2014	Lin Xiao Tong Zhang	1
+ PDF Chat	Learning contact-rich manipulation skills with guided policy search	2015	Sergey Levine Nolan Wagener Pieter Abbeel	1
+	Less than a Single Pass: Stochastically Controlled Stochastic Gradient Method	2016	Lihua Lei Michael I. Jordan	1
+	Federated Optimization: Distributed Machine Learning for On-Device Intelligence	2016	Jakub Konečný H. Brendan McMahan Daniel Ramage Peter Richtárik	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	Stochastic Variance Reduction for Policy Gradient Estimation	2017	Tian-Bing Xu Qiang Liu Jian Peng	1
+	Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates	2018	Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett	1
+	Policy optimization via importance sampling	2018	Alberto Maria Metelli Matteo Papini Francesco Faccio Marcello Restelli	1
+ PDF Chat	Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems	2019	Boyi Liu Lujia Wang Ming Liu	1
+	Challenges of Real-World Reinforcement Learning	2019	Gabriel Dulac-Arnold Daniel J. Mankowitz Todd Hester	1
+	Stochastic Variance Reduction Methods for Policy Evaluation	2017	Simon S. Du Jianshu Chen Lihong Li Lin Xiao Dengyong Zhou	1
+	Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System	2013	Jie Chen Kian Hsiang Low Colin Keng-Yan Tan	1
+ PDF Chat	Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception	2018	Ruofei Ouyang Kian Hsiang Low	1
+ PDF Chat	Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems	2019	Trong Nghia Hoang Quang Minh Hoang Kian Hsiang Low Jonathan P. How	1
+	Non-convex Finite-Sum Optimization Via SCSG Methods	2017	Lihua Lei Cheng Ju Jianbo Chen Michael I. Jordan	1
+	Stochastic Variance Reduction for Nonconvex Optimization	2016	Sashank J. Reddi Ahmed Hefny Suvrit Sra Barnabás Póczos Alex Smola	1
+	Byzantine Stochastic Gradient Descent	2018	Dan Alistarh Zeyuan Allen-Zhu Jerry Li	1
+	Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena	2012	Jie Chen Kian Hsiang Low Colin Keng-Yan Tan Ali Oran Patrick Jaillet John M. Dolan Gaurav S. Sukhatme	1
+	An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient	2019	Pan Xu Felicia Gao Quanquan Gu	1
+ PDF Chat	Federated Transfer Reinforcement Learning for Autonomous Driving	2022	Xinle Liang Yang Liu Tianjian Chen Ming Liu Qiang Yang	1
+	Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations	2019	Prashant Khanduri Saikiran Bulusu Pranay Sharma Pramod K. Varshney	1
+ PDF Chat	Practical Federated Gradient Boosting Decision Trees	2020	Qinbin Li Zeyi Wen Bingsheng He	1
+ PDF Chat	Gaussian process decentralized data fusion meets transfer learning in large-scale distributed cooperative perception	2019	Ruofei Ouyang Bryan Kian Hsiang Low	1
+	Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems	2020	Sergey Levine Aviral Kumar George Tucker Justin Fu	1
+	SVRG for Policy Evaluation with Fewer Gradient Evaluations	2020	Zilun Peng Abdelaziz Touati Pascal Vincent Doina Precup	1
+ PDF Chat	When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multitimescale Resource Management for Multiaccess Edge Computing in 5G Ultradense Network	2020	Shuai Yu Xu Chen Zhi Zhou Xiaowen Gong Di Wu	1
+ PDF Chat	Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving	2019	Yulong Cao Chaowei Xiao Benjamin Cyr Yimeng Zhou Won Park Sara Rampazzi Qi Alfred Chen Kevin Fu Z. Morley Mao	1
+	Differentially-Private Federated Linear Bandits	2020	Abhimanyu Dubey Alex Pentland	1
+ PDF Chat	Infinite-Horizon Policy-Gradient Estimation	2001	J. Baxter Peter L. Bartlett	1
+ PDF Chat	Federated Learning: Challenges, Methods, and Future Directions	2020	Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith	1
+ PDF Chat	Federated Bandit: A Gossiping Approach	2021	Zhaowei Zhu Jingxuan Zhu Ji Liu Yang Liu	1
+	Introductory Lectures on Convex Optimization: A Basic Course	2014	Ю Е Нестеров	1
+	Differentially Private Federated Bayesian Optimization with Distributed Exploration	2021	Zhongxiang Dai Bryan Kian Hsiang Low Patrick Jaillet	1
+ PDF Chat	A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection	2021	Qinbin Li Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan Li Xu Liu Bingsheng He	1