Dr.
Flint Xiaofeng Fan

Distributed Computing Group
Computer Engineering and Networks Laboratory (TIK)
Department Electrical Engineering (D-ITET)
Office ETZ G 97
ETH Zurich

Gloriastrasse 35
8092 Zurich
Switzerland

Publications

Position Paper: Rethinking Privacy in RL for Sequential Decision-making in the Age of LLMs
Flint Xiaofeng Fan, Cheston Tan, Roger Wattenhofer and Yew-Soon Ong.
International Joint Conference on Neural Networks (IJCNN), Rome, Italy, July 2025.
External Slides (PDF) BibTeX
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF
Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer and Wei-Tsang Ooi.
24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Detroit, Michigan, USA, May 2025.
External Slides (PDF) BibTeX
SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems
Nathan Corecco, Giorgio Piatti, Luca Lanzendörfer, Flint Xiaofeng Fan and Roger Wattenhofer.
27th European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, Galicia, Spain, October 2024.
BibTeX
Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence
Philip Jordan, Florian Grötschla, Flint Xiaofeng Fan and Roger Wattenhofer.
23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Auckland, New Zealand, May 2024.
External BibTeX
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening
Hei Yi Mak, Flint Xiaofeng Fan, Luca Lanzendörfer, Cheston Tan, Wei Tsang Ooi and Roger Wattenhofer.
The Sixteenth Workshop on Adaptive and Learning Agents (ALA@AAMAS), Auckland, New Zealand, May 2024.
External BibTeX
Fault-tolerant federated reinforcement learning with theoretical guarantee
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Wei Jing, Cheston Tan and Bryan Kian Hsiang Low.
Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS), Online, December 2021.
External BibTeX

Theses & Labs

	Title	Type	Contact/Supervisor	Assigned
Available Theses & Labs
	Provably Robust Cooperative Multi-Agent RL	M	Flint Xiaofeng Fan	available
	Topics on Distributed Reinforcement Learning	M/S	Flint Xiaofeng Fan	available
Current Theses & Labs
	Title	Type	Contact/Supervisor	Assigned	Student(s)
	Collective Decision-Making with Distributed LLMs	S	Flint Xiaofeng Fan	HS 25
	Democratic Opinion Modeling with Agent Societies	S	Flint Xiaofeng Fan	HS 25
	Federated Multi-Agent Reinforcement Learning	B	Flint Xiaofeng Fan	HS 25
	Meta-Federated Reinforcement Learning: Learning to Learn from Distributed Expert Knowledge	S	Flint Xiaofeng Fan	HS 25
	Multi-Agent Collaboration for Safe and Robust RLHF	B	Flint Xiaofeng Fan	HS 25
	Practical Federated RL: Implementation and Interactive Scenario Design with Flower.ai	B	Flint Xiaofeng Fan	HS 25
	Tackling Multi-Agent Policy-Gradient Variance with Stochastic Variance-Reduced Estimators	M	Flint Xiaofeng Fan	HS 25
	Trust and Resilience in Distributed Reinforcement Learning	B	Flint Xiaofeng Fan	HS 25
Past Theses & Labs
	Title	Type	Contact/Supervisor	Assigned	Student(s)
	Federated Reinforcement Learning with Heterogeneous Environments [confidential]	S	Flint Xiaofeng Fan, Luca Lanzendörfer	FS 23
	SUBER: An RL Environment with Simulated Human Behavior for Recommender Systems [confidential]	G	Flint Xiaofeng Fan, Luca Lanzendörfer	FS 23	,
	Reinforcement Learning of TSP Heuristics with Message Passing Neural Networks	G	Flint Xiaofeng Fan, Joël Mathys	FS 23	,
	Decentralized Federated Policy Gradient with Provably Fast Convergence and Byzantine Fault Tolerance [confidential]	S	Flint Xiaofeng Fan, Florian Grötschla	HS 22
	Reinforcement Learning for the Jass AI [confidential]	S	Benjamin Estermann, Flint Xiaofeng Fan	HS 22

Dr. Flint Xiaofeng Fan

Publications

Theses & Labs

Available Theses & Labs

Current Theses & Labs

Past Theses & Labs

Dr.
Flint Xiaofeng Fan