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cs.MM2026
FedTaste: Topology-Aware Structural Transfer for Multimodal Federated Learning with Missing Modalities
Haochen Liang, Jie Zhang, Hideya Ochiai
Multimodal Federated Learning is often challenged by arbitrary modality missingness and Non-IID data distributions, which lead to severe representation drift and hinder effective c…
cs.CR2026
FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization
Shunan Zhu, Jiawei Chen, Yonghao Yu +1
As high quality public data becomes scarce, Federated Learning (FL) provides a vital pathway to leverage valuable private user data while preserving privacy. However, real-world cl…
cs.SE2026
NeuroSCA: Neuro-Symbolic Constraint Abstraction for Smart Contract Hybrid Fuzzing
Haochen Liang, Jiawei Chen, Hideya Ochiai
Hybrid fuzzing combines greybox fuzzing's throughput with the precision of symbolic execution to uncover deep smart contract vulnerabilities. However, its effectiveness is often li…