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• Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches
  2024 · 3 citations
• Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
  2024 · 1 citations
• Offline Policy Optimization with Posterior Sampling
  2026
• Multi-Turn Reasoning LLMs for Task Offloading in Mobile Edge Computing
  2026
• Report of the 5th PVUW Challenge: Towards More Diverse Modalities in Pixel-Level Understanding
  2026
• Large Language Model (LLM)-enabled Reinforcement Learning for Wireless Network Optimization
  2026
• Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring
  2026
• One-Shot Federated Clustering of Non-Independent Completely Distributed Data
  2026
• Vision-LLMs for Spatiotemporal Traffic Forecasting
  2025
• BC-GAN: A Generative Adversarial Network for Synthesizing a Batch of Collocated Clothing
  2025
• Accelerating Wireless Federated Learning via Nesterov's Momentum and Distributed Principle Component Analysis
  2023
• Spin: An Efficient Secure Computation Framework with GPU Acceleration
  2024
• Heavy-Ball Momentum Accelerated Actor-Critic With Function Approximation
  2024