3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2025
REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature
Wenhan Wu, Zhili He, Huanghuang Liang +4
Data-protection regulations such as the GDPR grant every participant in a federated system a right to be forgotten. Federated unlearning has therefore emerged as a research frontie…
cs.DC2025
Metadata-Guided Adaptable Frequency Scaling across Heterogeneous Applications and Devices
Jinqi Yan, Fang He, Qianlong Sang +5
Dynamic Voltage and Frequency Scaling is essential for enhancing energy efficiency in mobile platforms. However, traditional heuristic-based governors are increasingly inadequate f…
cs.CL2023★ 3 cited
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer
Boan Liu, Liang Ding, Li Shen +4
The Mixture of Experts (MoE) has emerged as a highly successful technique in deep learning, based on the principle of divide-and-conquer to maximize model capacity without signific…