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20232026
most citedRFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation

5 citations · 10 across the 11 of their papers we have counts for

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cs.LG2023

Data Valuation and Detections in Federated Learning

Wenqian Li, Shuran Fu, Fengrui Zhang +1

Federated Learning (FL) enables collaborative model training while preserving the privacy of raw data. A challenge in this framework is the fair and efficient valuation of data, wh…

cs.AI2023★ 4 cited

Split-and-Denoise: Protect large language model inference with local differential privacy

Peihua Mai, Ran Yan, Zhe Huang +2

Large Language Models (LLMs) excel in natural language understanding by capturing hidden semantics in vector space. This process enriches the value of text embeddings for various d…