byzantine resilience 1decentralized optimization 1multi-agent systems 1proximal methods 1stochastic gradient 1variance reduction 1
From the 1 of 3 papers with an AI index.
19 citations
- City University of Hong KongHK2 papers
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- Aalto UniversityFI1 paper
- Baidu (China)CN1 paper
- Bohai UniversityCN1 paper
- Central South UniversityCN1 paper
- Chalmers University of TechnologySE1 paper
- Chinese University of Hong KongHK1 paper
- City University of Hong Kong, Shenzhen Research InstituteCN1 paper
- Fuzhou UniversityCN1 paper
- George Washington UniversityUS1 paper
- Loughborough UniversityGB1 paper
3 papers
math.OC2026★ 5 cited
Prox-DBRO-VR: A Unified Analysis on Byzantine-Resilient Decentralized Stochastic Composite Optimization with Variance Reduction and Non-Asymptotic Convergence Rates
Jinhui Hu, Guo Chen, Huaqing Li +3
The paper proposes a decentralized stochastic proximal‑gradient algorithm that remains robust to Byzantine (malicious or faulty) agents, and enhances its speed using variance‑reduc…
cond-mat.mtrl-sci2026★ 19 cited
NEP89: Universal neuroevolution potential for inorganic and organic materials across 89 elements
Ting Liang, Ke Xu, Eric Lindgren +16
While machine-learned interatomic potentials offer near-quantum-mechanical accuracy for atomistic simulations, many are material-specific or computationally intensive, limiting the…
cs.AI2026
DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent
Tongzhou Wu, Yuhao Wang, Xinyu Ma +4
Deep-research agents are capable of executing multi-step web exploration, targeted retrieval, and sophisticated question answering. Despite their powerful capabilities, deep-resear…