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• Secure Federated Submodel Learning
  2019 · 28 citations
• Distributed Non-Convex Optimization with Sublinear Speedup under Intermittent Client Availability
  2020 · 12 citations
• Distributed Optimization over Block-Cyclic Data
  2020 · 8 citations
• Personalized LLM for Generating Customized Responses to the Same Query from Different Users
  2024 · 2 citations
• Toward Understanding the Influence of Individual Clients in Federated Learning
  2020 · 1 citations
• Federated Submodel Optimization for Hot and Cold Data Features
  2021 · 1 citations
• C$^2$KV: Compressed and Composable KV Cache Reuse for Efficient LLM Inference
  2026
• From Myopic Selection to Long-Horizon Awareness: Sequential LLM Routing for Multi-Turn Dialogue
  2026
• RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
  2025