暂无分享,去创建一个
[1] Shengli Xie,et al. Incentive Mechanism for Reliable Federated Learning: A Joint Optimization Approach to Combining Reputation and Contract Theory , 2019, IEEE Internet of Things Journal.
[2] Dong In Kim,et al. Toward an Automated Auction Framework for Wireless Federated Learning Services Market , 2019, ArXiv.
[3] Yang Liu,et al. Mechanism Design for Multi-Party Machine Learning , 2020, ArXiv.
[4] Chunyan Miao,et al. Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks , 2020, IEEE Internet of Things Journal.
[5] Kentaroh Toyoda,et al. Mechanism Design for An Incentive-aware Blockchain-enabled Federated Learning Platform , 2019, 2019 IEEE International Conference on Big Data (Big Data).
[6] Deze Zeng,et al. A Learning-Based Incentive Mechanism for Federated Learning , 2020, IEEE Internet of Things Journal.
[7] Paul Voigt,et al. The EU General Data Protection Regulation (GDPR) , 2017 .
[8] Han Yu,et al. FedCoin: A Peer-to-Peer Payment System for Federated Learning , 2020, Federated Learning.
[9] Choong Seon Hong,et al. A Crowdsourcing Framework for On-Device Federated Learning , 2020, IEEE Transactions on Wireless Communications.
[10] Amit P. Sheth,et al. Machine learning for Internet of Things data analysis: A survey , 2017, Digit. Commun. Networks.
[11] Takayuki Nishio,et al. Data Assessment and Prioritization in Mobile Networks for Real-Time Prediction of Spatial Information with Machine Learning , 2019, 2019 IEEE First International Workshop on Network Meets Intelligent Computations (NMIC).
[12] Yang Liu,et al. A Sustainable Incentive Scheme for Federated Learning , 2020, IEEE Intelligent Systems.
[13] Ying-Chang Liang,et al. Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach , 2019, 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS).
[14] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[15] Takayuki Nishio,et al. Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge , 2018, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).
[16] Shu Yang,et al. A survey on application of machine learning for Internet of Things , 2018, International Journal of Machine Learning and Cybernetics.
[17] Xiaowen Chu,et al. FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC , 2020, ArXiv.
[18] Joohyung Lee,et al. Market Analysis of Distributed Learning Resource Management for Internet of Things: A Game-Theoretic Approach , 2020, IEEE Internet of Things Journal.
[19] Tianjian Chen,et al. A Fairness-aware Incentive Scheme for Federated Learning , 2020, AIES.
[20] Peter Richtárik,et al. Federated Learning: Strategies for Improving Communication Efficiency , 2016, ArXiv.
[21] Eiji Oki,et al. Prioritization of Mobile IoT Data Transmission Based on Data Importance Extracted From Machine Learning Model , 2019, IEEE Access.
[22] Klaus-Robert Müller,et al. Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data , 2019, IEEE Transactions on Neural Networks and Learning Systems.