影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
-/100
发表论文5 篇
平均评分
年均产出5.0 篇/年
Mingcong Xu
15
FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning
ICLR 2026Rejected
一作6
FedSumUp:Secure Federated Learning Without Client-Side Training for Resource-Constrained Edge Devices
ICLR 2026Rejected
6
FedCRAP: Federated Critical-Region-Aware Perturbations for Refined Privacy-Preserving Federated Learning
ICLR 2026Rejected
二作6
FedBARRE: Privacy–Utility Optimized Perturbation Ensemble against Gradient Leakage Attacks in Federated Learning
ICLR 2026Rejected
一作8
Random Projection Against Gradient Leakage: Privacy-Preserving in Federated Learning
ICLR 2026Rejected
二作