Differentially Private AirComp Federated Learning with Power Adaptation Harnessing Receiver Noise
暂无分享,去创建一个
[1] Tassilo Klein,et al. Differentially Private Federated Learning: A Client Level Perspective , 2017, ArXiv.
[2] Blaise Agüera y Arcas,et al. Communication-Efficient Learning of Deep Networks from Decentralized Data , 2016, AISTATS.
[3] Vitaly Shmatikov,et al. Exploiting Unintended Feature Leakage in Collaborative Learning , 2018, 2019 IEEE Symposium on Security and Privacy (SP).
[4] Kaibin Huang,et al. Broadband Analog Aggregation for Low-Latency Federated Edge Learning , 2018, IEEE Transactions on Wireless Communications.
[5] Rui Zhang,et al. A Hybrid Approach to Privacy-Preserving Federated Learning , 2018, Informatik Spektrum.
[6] Tao Jiang,et al. Over-the-Air Computation via Intelligent Reflecting Surfaces , 2019, 2019 IEEE Global Communications Conference (GLOBECOM).
[7] Aaron Roth,et al. The Algorithmic Foundations of Differential Privacy , 2014, Found. Trends Theor. Comput. Sci..
[8] Abbas Jamalipour,et al. Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..
[9] Zhi Ding,et al. Federated Learning via Over-the-Air Computation , 2018, IEEE Transactions on Wireless Communications.
[10] Richard Nock,et al. Advances and Open Problems in Federated Learning , 2021, Found. Trends Mach. Learn..
[11] Somesh Jha,et al. Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures , 2015, CCS.
[12] Kaibin Huang,et al. Reduced-Dimension Design of MIMO AirComp for Data Aggregation in Clustered IoT Networks , 2019, 2019 IEEE Global Communications Conference (GLOBECOM).
[13] H. Brendan McMahan,et al. Learning Differentially Private Recurrent Language Models , 2017, ICLR.
[14] Haomiao Yang,et al. Towards Efficient and Privacy-Preserving Federated Deep Learning , 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).
[15] Geoffrey E. Hinton,et al. On the importance of initialization and momentum in deep learning , 2013, ICML.
[16] Úlfar Erlingsson,et al. The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets , 2018, ArXiv.