zeroth-order optimization

Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models AAAI 2026 Crafting Adversarial Inputs for Large Vision-Language Models Using Black-Box Optimization EACL 2026 Curvature-Aware Zeroth-Order Optimization for Memory-Efficient Test-Time Adaptation CVPR 2026 FOZO: Forward-Only Zeroth-Order Prompt Optimization for Test-Time Adaptation CVPR 2026 Global Adaptive Momentum Meets Local Personalized Perturbation: Efficient Federated LLM Fine-Tuning with Zeroth-Order Gradients ACL 2026 Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-tuning AAAI 2026 More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning WACV 2026 Policy Optimization for Unknown Systems using Differentiable MPC L4DC 2026 Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation CVPR 2026 RoZO: Geometry-Aware Zeroth-Order Fine-Tuning on Low-Rank Adapters for Black-Box Large Language Models EACL 2026 Stochastic Gradient Methods: Bias, Stability and Generalization JMLR 2026 Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models EACL 2026 Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization ICLR 2025 Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models ICLR 2025 Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models ICLR 2025 CONGO: Compressive Online Gradient Optimization ICLR 2025 Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation AAAI 2025 DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization NAACL 2025 Efficient Personalization of Quantized Diffusion Model without Backpropagation CVPR 2025 Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures ICLR 2025 HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization EMNLP 2025 Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence AAAI 2025 Joint-Perturbation Simultaneous Pseudo-Gradient IJCAI 2025 Layered-Parameter Perturbation for Zeroth-Order Optimization of Optical Neural Networks AAAI 2025 MambaExtend: A Training-Free Approach to Improve Long Context Extension of Mamba ICLR 2025