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HXAI: Hierarchical Privacy-Preserving Explainable AI in Distributed Energy Syste

BACKGROUND
1 SIGNALFIRST DETECTED 5 October 2026
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17 Jul
Federated Explainable Artificial Intelligence: Roles, Architectures, Evaluation, and Open Challenges

arXiv:2607.13045v1 Announce Type: cross Abstract: Federated Learning (FL) has emerged as a key paradigm for privacy-preserving collaborative model training across distributed and

REPORT · WHAT · ArXiv CS.AIOPEN STORY
14 Apr
Explainable Planning for Hybrid Systems

arXiv:2604.09578v1 Announce Type: new Abstract: The recent advancement in artificial intelligence (AI) technologies facilitates a paradigm shift toward automation. Autonomous

REPORT · WHAT · ArXiv CS.AIOPEN STORY
28 Apr
Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings

arXiv:2604.22662v1 Announce Type: cross Abstract: Shapley values are a cornerstone of explainable AI, yet their proliferation into competing formulations has created a fragmented

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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