AGC-DP: Differential Privacy with Adaptive Gaussian Clipping for Federated Learning

Research article (2023 24th IEEE International Conference on Mobile Data Management (MDM), 2023) · cited 12× · AI/ML
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AGC-DP: Differential Privacy with Adaptive Gaussian Clipping for Federated Learning

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AGC-DP: Differential Privacy with Adaptive Gaussian Clipping for Federated Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). AGC-DP: Differential Privacy with Adaptive Gaussian Clipping for Federated Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/agc-dp-differential-privacy-with-adaptive-gaussian-clipping-for-federated-learning
MLA “AGC-DP: Differential Privacy with Adaptive Gaussian Clipping for Federated Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/agc-dp-differential-privacy-with-adaptive-gaussian-clipping-for-federated-learning.
BibTeX @misc{4ortxyz_agc-dp-differential-privacy-with-adaptive-gaussian-clipping-for-federated-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AGC-DP: Differential Privacy with Adaptive Gaussian Clipping for Federated Learning}}, year = {2026}, url = {https://4ort.xyz/entity/agc-dp-differential-privacy-with-adaptive-gaussian-clipping-for-federated-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AGC-DP: Differential Privacy with Adaptive Gaussian Clipping for Federated Learning — https://4ort.xyz/entity/agc-dp-differential-privacy-with-adaptive-gaussian-clipping-for-federated-learning (retrieved 2026-05-24)

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