Author

Feng-Chun Zhang

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Conference Open access Sep 2026

Proactive Federated Unlearning: Sensitivity-Guided Sparse Adaptation on Key Layers

Driven by privacy regulations, federated unlearning (FU) aims to remove the influence of specific clients or samples from a trained federated model, approximating the behavior of retraining from scratch without the target data. However, existing FU methods are largely reactive: retraining-based solutions are accurate b...

Jin-Shan Lai, Feng-Chun Zhang, Yun-Yuan Wang et al. · Proceedings of the Thirty-Fi... · 0 citations

#artificial intelligence Preprint Sep 2026

Embodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark Construction

Agentic systems offer a promising way to automate embodied benchmark construction, but existing approaches typically cover isolated stages or remain specialized to predefined environments and task families. More importantly, multi-step construction produces dependent intermediate artifacts that are often passed downstr...

Bao-Yang Jiang, Feng-Chun Zhang, Le-Yuan Wang et al. · 0 citations