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• When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
  2023 · 25 citations
• Pruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring
  2024 · 2 citations
• Biomechanical Comparisons Reveal Divergence of Human and Humanoid Gaits
  2026
• Overlooked Safety Vulnerability in LLMs: Malicious Intelligent Optimization Algorithm Request and its Jailbreak
  2026
• Overlooked Safety Vulnerability in LLMs: Malicious Intelligent Optimization Algorithm Request and its Jailbreak
  2026
• When Alignment Fails: Multimodal Adversarial Attacks on Vision-Language-Action Models
  2025
• Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction
  2025
• Federated Loss Exploration for Improved Convergence on Non-IID Data
  2025
• Genetic Programming with Reinforcement Learning Trained Transformer for Real-World Dynamic Scheduling Problems
  2025
• Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
  2025
• Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation
  2019
• Ternary Compression for Communication-Efficient Federated Learning
  2020
• Information Maximization Clustering via Multi-View Self-Labelling
  2021