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Found 2 papers, 1 papers with code
Towards Effective and General Graph Unlearning via Mutual Evolution
With the rapid advancement of AI applications, the growing needs for data privacy and model robustness have highlighted the importance of machine unlearning, especially in thriving graph-based scenarios.
Efficient Training of the Memristive Deep Belief Net Immune to Non-Idealities of the Synaptic Devices
Nevertheless, the implementation of the VMM needs complex peripheral circuits and the complexity further increases since non-idealities of memristive devices prevent precise conductance tuning (especially for the online training) and largely degrade the performance of the deep neural networks (DNNs).
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