3 citations · 6 across the 7 of their papers we have counts for
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cs.GT2023
Incentivized Federated Learning and Unlearning
Ningning Ding, Zhenyu Sun, Ermin Wei +1
To protect users' right to be forgotten in federated learning, federated unlearning aims at eliminating the impact of leaving users' data on the global learned model. The current r…
cs.LG2023★ 3 cited
Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters
Zhenyu Sun, Xiaochun Niu, Ermin Wei
Generalization performance is a key metric in evaluating machine learning models when applied to real-world applications. Good generalization indicates the model can predict unseen…
cond-mat.mes-hall2023★ 3 cited
Machine-Learning-Assisted and Real-Time-Feedback-Controlled Growth of InAs/GaAs Quantum Dots
Chao Shen, Wenkang Zhan, Kaiyao Xin +11
Self-assembled InAs/GaAs quantum dots (QDs) have properties highly valuable for developing various optoelectronic devices such as QD lasers and single photon sources. The applicati…