Flint Xiaofeng Fan

According to our database, Flint Xiaofeng Fan authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Why Do We Suffer for Fun? Ordeal Pleasure in Souls-like Games.

Flint Xiaofeng Fan

CoRR, March, 2026

Information Fidelity in Tool-Using LLM Agents: A Martingale Analysis of the Model Context Protocol.

Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong

CoRR, February, 2026

Unveiling and Mitigating Untargeted Poisoning Attacks on Federated Knowledge Graph Embedding.

Wenzheng Jiang, Ke Liang, Wenke Huang, Xiongtao Zhang, Zhenxing Xu, Guancheng Wan, Cheston Tan, Flint Xiaofeng Fan, Ji Wang

Proceedings of the ACM Web Conference 2026, 2026

2025

Revisiting the Byzantine Resilience of Federated Reinforcement Learning: A Distillation Perspective.

Wenzheng Jiang, Ji Wang, Zhengyi Zhong, Jiangzhou Liao, Xiaomin Zhu, Flint Xiaofeng Fan

Proceedings of the 24th IEEE International Conference on Trust, 2025

Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs.

Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer, Yew-Soon Ong

Proceedings of the International Joint Conference on Neural Networks, 2025

FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation.

Wenzheng Jiang, Ji Wang, Xiongtao Zhang, Weidong Bao, Cheston Tan, Flint Xiaofeng Fan

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF.

Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei Tsang Ooi

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity.

Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor W. Tsang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Quality Diversity Imitation Learning.

Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Ivor W. Tsang

CoRR, 2024

An LLM-based Recommender System Environment.

Nathan Corecco, Giorgio Piatti, Luca A. Lanzendörfer, Flint Xiaofeng Fan, Roger Wattenhofer

CoRR, 2024

CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening.

Hei Yi Mak, Flint Xiaofeng Fan, Luca A. Lanzendörfer, Cheston Tan, Wei Tsang Ooi, Roger Wattenhofer

CoRR, 2024

SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems.

Nathan Corecco, Giorgio Piatti, Luca A. Lanzendörfer, Flint Xiaofeng Fan, Roger Wattenhofer

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence.

Philip Jordan, Florian Grötschla, Flint Xiaofeng Fan, Roger Wattenhofer

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning.

Xinyang Lu, Flint Xiaofeng Fan, Tianying Wang

CoRR, 2023

FedHQL: Federated Heterogeneous Q-Learning.

Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low, Roger Wattenhofer

CoRR, 2023

Federated Neural Bandits.

Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FedHQL: Federated Heterogeneous Q-Learning.

Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan, Bryan Kian Hsiang Low

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Federated Neural Bandit.

Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet

CoRR, 2022

2021

Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee.

Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan, Bryan Kian Hsiang Low

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021