A Multi-player Game for Studying Federated Learning Incentive Schemes
暂无分享,去创建一个
Qiang Yang | Yang Liu | Han Yu | Zelei Liu | Kang Loon Ng | Zichen Chen | Qiang Yang | Yang Liu | Han Yu | Zelei Liu | K. Ng | Zichen Chen
[1] Blaise Agüera y Arcas,et al. Communication-Efficient Learning of Deep Networks from Decentralized Data , 2016, AISTATS.
[2] Richard Nock,et al. Advances and Open Problems in Federated Learning , 2019, Found. Trends Mach. Learn..
[3] Chunyan Miao,et al. Agents as intelligent user interfaces for the net generation , 2010, IUI '10.
[4] Qiong Wu,et al. The innovative application of learning companions in virtual singapura , 2013, AAMAS.
[5] Chunyan Miao,et al. A simple curious agent to help people be curious , 2011, AAMAS.
[6] Tianjian Chen,et al. A Fairness-aware Incentive Scheme for Federated Learning , 2020, AIES.
[7] Chunyan Miao,et al. Trust-based web service selection in virtual communities , 2011, Web Intell. Agent Syst..
[8] Pan Li,et al. A reputation pattern for service oriented computing , 2009, 2009 7th International Conference on Information, Communications and Signal Processing (ICICS).
[9] Costas J. Spanos,et al. Towards Efficient Data Valuation Based on the Shapley Value , 2019, AISTATS.
[10] Tianjian Chen,et al. Federated Machine Learning: Concept and Applications , 2019 .
[11] Chunyan Miao,et al. Building Ethics into Artificial Intelligence , 2018, IJCAI.
[12] Shaojie Tang,et al. On Designing Data Quality-Aware Truth Estimation and Surplus Sharing Method for Mobile Crowdsensing , 2017, IEEE Journal on Selected Areas in Communications.
[13] Sreenivas Gollapudi,et al. Profit Sharing and Efficiency in Utility Games , 2017, ESA.
[14] Chunyan Miao,et al. A dataset of human decision-making in teamwork management , 2017, Scientific Data.
[15] Chunyan Miao,et al. Efficient Collaborative Crowdsourcing , 2016, AAAI.