Bicheng Ying

5 papers · 2016–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

Venues

ICLR (1) ICML (1) IJCAI (1) JMLR (1) NeurIPS (1)

Top co-authors

Kun Yuan (3) Wotao Yin (2) Zhe Li (2) Haibo Yang (2) Lisang Ding (1) Sitharama Iyengar (1) Ali H. Sayed (1) Kexin Jin (1) Chaosheng Dong (1) Zidong Liu (1)

Research topics

Machine Learning (5) Optimization & Theory (5) Artificial Intelligence (1) Mathematics & Optimization (1) Learning Paradigms · Artificial Intelligence (1) Learning Paradigms · Machine Learning (1) Learning Types (1) Optimization (1)

Keywords

convergence analysis (2) distributed learning (2) distributed optimization (2) communication efficiency (2) neural network training (2) federated learning (2) learning rate (1) data heterogeneity (1) client participation (1) model training (1) zeroth-order optimization (1) model convergence (1) model fine-tuning (1) momentum method (1) mean square error (1) consensus algorithm (1) communication topology (1) decentralized stochastic gradient descent (1) convex function (1) snapshot mechanism (1)

Papers

Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization ICLR 2025 FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning IJCAI 2025 DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm ICML 2023 Exponential Graph is Provably Efficient for Decentralized Deep Training NeurIPS 2021 On the Influence of Momentum Acceleration on Online Learning JMLR 2016