Shiqiang Wang

Venues

Frequent coauthors

Papers

1. Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
   ICLR 2025 ·

   Daouda Sow

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2. MESS+: Dynamically Learned Inference-Time LLM Routing in Model Zoos with Service Level Guarantees
   NeurIPS 2025 ·

   Herbert Woisetschläger

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3. RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
   NeurIPS 2025 ·

   Adam Piaseczny

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4. A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
   ICLR 2024 · Shiqiang Wang
5. A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
   ICML 2024 ·

   Jiayi Wang

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6. A Survey on Efficient Federated Learning Methods for Foundation Model Training
   IJCAI 2024 ·

   Herbert Woisetschläger

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7. DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
   AAAI 2024 ·

   Guojun Xiong

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8. FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
   AISTATS 2024 ·

   Divyansh Jhunjhunwala

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9. Hierarchical Federated Learning with Multi-Timescale Gradient Correction
   NeurIPS 2024 ·

   Wenzhi Fang

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