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LLM-based Multi-Agent Systems (MAS) have proven highly effective in solving complex problems by integrating multiple agents, each performing different roles.
Protocols for secure computations
Andrew C Yao. 1982 · 1982
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Differential privacy
Cynthia Dwork. 2006 · 2006
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What can we learn privately?
Shiva Prasad Kasiviswanathan, Homin K Lee, Kobbi Nissim, Sofya Raskhodnikova, and Adam Smith. 2011 · 2011
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Attention is all you need
A Vaswani. 2017 · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin. 2018 · 2018
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Privacy-preserving machine learning: Threats and solutions
Mohammad Al-Rubaie and J Morris Chang. 2019 · 2019
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A comprehensive survey on graph neural networks
Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and S Yu Philip. 2020 · 2020
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A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications
Wei Du and Shifei Ding. 2021 · 2021
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A survey on federated learning systems: Vision, hype and reality for data privacy and protection
Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, and Bingsheng He. 2021 · 2021
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Feddg: Federated domain generalization on medical image segmentation via episodic learning in continuous frequency space
Quande Liu, Cheng Chen, Jing Qin, Qi Dou, and Pheng-Ann Heng. 2021 · 2021
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A privacy-preserving and trustable multi-agent learning framework
Anudit Nagar, Cuong Tran, and Ferdinando Fioretto. 2021 · 2021
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Privacy-preserving consensus for multi-agent systems via node decomposition strategy
Yaqi Wang, Jianquan Lu, Wei Xing Zheng, and Kaibo Shi. 2021 · 2021
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Fedgnn: Federated graph neural network for privacy-preserving recommendation
Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, and Xing Xie. 2021 · 2021
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Improving federated learning face recognition via privacy-agnostic clusters
Qiang Meng, Feng Zhou, Hainan Ren, Tianshu Feng, Guochao Liu, and Yuanqing Lin. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
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Chateval: Towards better llm-based evaluators through multi-agent debate
Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, and Zhiyuan Liu. 2023 · 2023
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Dynamics-based algorithm-level privacy preservation for push-sum average consensus
Huqiang Cheng, Xiaofeng Liao, Huaqing Li, and Qingguo Lü. 2023 · 2023
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Improving factuality and reasoning in language models through multiagent debate
Yilun Du, Shuang Li, Antonio Torralba, Joshua B Tenenbaum, and Igor Mordatch. 2023 · 2023
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Knowledge card: Filling llms’ knowledge gaps with plug-in specialized language models
Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, and Yulia Tsvetkov. 2023 · 2023
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Privacy-engineered value decomposition networks for cooperative multi-agent reinforcement learning
Exploring large language model based intelligent agents: Definitions, methods, and prospects
Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang, Xiangrui Meng, Sirui Hong, Wenhao Li, Zihao Wang, Zekai Wang, Feng Yin, Junhua Zhao, et al. 2024 · 2024
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Privacy-preserving consensus of double-integrator multi-agent systems with input constraints
Qingyun Deng, Kexin Liu, and Yinyan Zhang. 2024 · 2024
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A survey on context-aware multi-agent systems: Techniques, challenges and future directions
Hung Du, Srikanth Thudumu, Rajesh Vasa, and Kon Mouzakis. 2024 · 2024
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A review of scalable and privacy-preserving multi-agent frameworks for distributed energy resource control
Xiang Huo, Hao Huang, Katherine R Davis, H Vincent Poor, and Mingxi Liu. 2024 · 2024
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Koma: Knowledge-driven multi-agent framework for autonomous driving with large language models
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Parham Gohari, Matthew Hale, and Ufuk Topcu. 2023 · 2023
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Metagpt: Meta programming for multi-agent collaborative framework
Sirui Hong, Xiawu Zheng, Jonathan Chen, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka Shing Yau, Zijuan Lin, Liyang Zhou, et al. 2023 · 2023
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Differentially private in-context learning
Ashwinee Panda, Tong Wu, Jiachen Wang, and Prateek Mittal. 2023 · 2023
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Auto-gpt: An autonomous gpt-4 experiment
Toran Bruce Richards et al. 2023 · 2023
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Reflexion: an autonomous agent with dynamic memory and self-reflection
Noah Shinn, Beck Labash, and Ashwin Gopinath. 2023 · 2023
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Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, Katie Millican, et al. 2023 · 2023
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Z Wang, S Mao, W Wu, T Ge, F Wei, and H Ji · 2023
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Privacy-preserving adaptive resilient consensus for multiagent systems under cyberattacks
Chenduo Ying, Ning Zheng, Yiming Wu, Ming Xu, and Wen-An Zhang. 2023 · 2023
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Kemou Jiang, Xuan Cai, Zhiyong Cui, Aoyong Li, Yilong Ren, Haiyang Yu, Hao Yang, Daocheng Fu, Licheng Wen, and Pinlong Cai. 2024 · 2024
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Mdagents: An adaptive collaboration of llms for medical decision-making
Yubin Kim, Chanwoo Park, Hyewon Jeong, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Hyeonhoon Lee, Marzyeh Ghassemi, Cynthia Breazeal, and Hae Won Park. 2024 · 2024
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Survey of recent results in privacy-preserving mechanisms for multi-agent systems
Magdalena Kossek and Margareta Stefanovic. 2024 · 2024
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Mmedagent: Learning to use medical tools with multi-modal agent
Binxu Li, Tiankai Yan, Yuanting Pan, Jie Luo, Ruiyang Ji, Jiayuan Ding, Zhe Xu, Shilong Liu, Haoyu Dong, Zihao Lin, et al. 2024 · 2024
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Privacy-preserving bipartite consensus of discrete multi-agent systems under event-triggered protocol
Longshuo Pan, Jian Wang, Hongyong Yang, Chuangchuang Zhang, and Li Liu. 2024 · 2024
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Guardrail baselines for unlearning in llms
Pratiksha Thaker, Yash Maurya, Shengyuan Hu, Zhiwei Steven Wu, and Virginia Smith. 2024 · 2024
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Megaagent: A practical framework for autonomous cooperation in large-scale llm agent systems
Qian Wang, Tianyu Wang, Qinbin Li, Jingsheng Liang, and Bingsheng He. 2024 · 2024
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Tradingagents: Multi-agents llm financial trading framework
Yijia Xiao, Edward Sun, Di Luo, and Wei Wang. 2024 · 2024
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A taxonomy of architecture options for foundation model-based agents: Analysis and decision model
Jingwen Zhou, Qinghua Lu, Jieshan Chen, Liming Zhu, Xiwei Xu, Zhenchang Xing, and Stefan Harrer. 2024 · 2024
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Learning to break: Knowledge-enhanced reasoning in multi-agent debate system
Haotian Wang, Xiyuan Du, Weijiang Yu, Qianglong Chen, Kun Zhu, Zheng Chu, Lian Yan, and Yi Guan. 2025 · 2025
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