4 citations · 7 across the 5 of their papers we have counts for
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cs.LG2025
ZeroED: Hybrid Zero-shot Error Detection through Large Language Model Reasoning
Wei Ni, Kaihang Zhang, Xiaoye Miao +4
Error detection (ED) in tabular data is crucial yet challenging due to diverse error types and the need for contextual understanding. Traditional ED methods often rely heavily on m…
cs.LG2025★ 1 cited
Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning
Xiaoye Miao, Bin Li, Yanzhang +2
Privacy concerns arise as sensitive data proliferate. Despite decentralized federated learning (DFL) aggregating gradients from neighbors to avoid direct data transmission, it stil…
cs.LG2025★ 4 cited
Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning
Bin Li, Xiaoye Miao, Yan Zhang +1
Decentralized federated learning (DFL) is inherently vulnerable to data poisoning attacks, as malicious clients can transmit manipulated gradients to neighboring clients. Existing…