Flint Xiaofeng Fan

24 papers A* 4A 5B 2Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Information Fidelity in Tool-Using LLM Agents: A Martingale Analysis of the Model Context Protocol.
CoRR
Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong
2026 A* conf
Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding.
WWW
Wenzheng Jiang, Ke Liang, Wenke Huang, Xiongtao Zhang, Zhenxing Xu, Guancheng Wan, Cheston Tan, Flint Xiaofeng Fan, Ji Wang
2026 J jnl
Why Do We Suffer for Fun? Ordeal Pleasure in Souls-like Games.
CoRR
Flint Xiaofeng Fan
2025 A* conf
Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity.
ICML
Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor W. Tsang
2025 A conf
FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation.
AAMAS
Wenzheng Jiang, Ji Wang, Xiongtao Zhang, Weidong Bao, Cheston Tan, Flint Xiaofeng Fan
2025 J jnl
FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation.
CoRR
Wenzheng Jiang, Ji Wang, Xiongtao Zhang, Weidong Bao, Cheston Tan, Flint Xiaofeng Fan
2025 A conf
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF.
AAMAS
Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei Tsang Ooi
2025 B conf
Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs.
IJCNN
Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong
2025 J jnl
Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs.
CoRR
Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong
2025 B conf
Revisiting the Byzantine Resilience of Federated Reinforcement Learning: A Distillation Perspective.
TrustCom
Wenzheng Jiang, Ji Wang, Zhengyi Zhong, Jiangzhou Liao, Xiaomin Zhu, Flint Xiaofeng Fan
2024 J jnl
An LLM-based Recommender System Environment.
CoRR
Nathan Corecco, Giorgio Piatti, Luca A. Lanzendörfer, Flint Xiaofeng Fan, Roger Wattenhofer
2024 J jnl
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening.
CoRR
Hei Yi Mak, Flint Xiaofeng Fan, Luca A. Lanzendörfer, Cheston Tan, Wei Tsang Ooi, Roger Wattenhofer
2024 A conf
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence.
AAMAS
Philip Jordan, Florian Grötschla, Flint Xiaofeng Fan, Roger Wattenhofer
2024 J jnl
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence.
CoRR
Philip Jordan, Florian Grötschla, Flint Xiaofeng Fan, Roger Wattenhofer
2024 J jnl
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF.
CoRR
Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei Tsang Ooi
2024 J jnl
Quality Diversity Imitation Learning.
CoRR
Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Ivor W. Tsang
2024 A conf
SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems.
ECAI
Nathan Corecco, Giorgio Piatti, Luca A. Lanzendörfer, Flint Xiaofeng Fan, Roger Wattenhofer
2023 J jnl
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning.
CoRR
Xinyang Lu, Flint Xiaofeng Fan, Tianying Wang
2023 A conf
FedHQL: Federated Heterogeneous Q-Learning.
AAMAS
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low
2023 J jnl
FedHQL: Federated Heterogeneous Q-Learning.
CoRR
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low, Roger Wattenhofer
2023 A* conf
Federated Neural Bandits.
ICLR
Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet
2022 J jnl
Federated Neural Bandit.
CoRR
Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet
2021 A* conf
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee.
NeurIPS
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low
2021 J jnl
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee.
CoRR
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low