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cs.LG2026
FedTopo: Relation-Level Topology Sharing for Model-Heterogeneous Federated Learning
Zhaoyang Ma, Zhihao Wu, Xin Gao +3
Federated learning (FL) enables collaborative learning over decentralized data silos without centralizing raw data. However, heterogeneous local architectures often induce non-alig…
cs.LG2025
Harmonizing Intra-coherence and Inter-divergence in Ensemble Attacks for Adversarial Transferability
Zhaoyang Ma, Zhihao Wu, Wang Lu +6
The development of model ensemble attacks has significantly improved the transferability of adversarial examples, but this progress also poses severe threats to the security of dee…
cs.LG2023★ 2 cited
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
Peng Cheng, Xianyuan Zhan, Zhihao Wu +5
Offline reinforcement learning (RL) offers an appealing approach to real-world tasks by learning policies from pre-collected datasets without interacting with the environment. Howe…