Wenqi Ding — accepted AI-conference papers

2025

MPFL: A Decentralised Federated Learning Framework Based on Multi-Population Genetic Algorithm

Wenqi Ding, Yuanchao Liu, Zhongjie Wang, Zheng Chu

ICASSP 2025accepted

Federated Learning (FL) enables collaborative training while protecting the privacy of participant data. However, typical centralized FL structures are vulnerable to malicious client attacks. To mitigate such vulnerabilities, blockchain technology has been used to develop a decentralized FL framewor…

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2023

Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Siddharth Nayak, Kenneth Choi, Wenqi Ding, Sydney Dolan, Karthik Gopalakrishnan, Hamsa Balakrishnan

ICML 2023poster

We consider the problem of multi-agent navigation and collision avoidance when observations are limited to the local neighborhood of each agent. We propose InforMARL, a novel architecture for multi-agent reinforcement learning (MARL) which uses local information intelligently to compute paths for al…

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