privacy-preserving learning

Query-based Knowledge Transfer for Heterogeneous Learning Environments ICLR 2025 Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization AAAI 2025 Split Adaptation for Pre-trained Vision Transformers CVPR 2025 Universal Semantic Disentangled Privacy-preserving Speech Representation Learning Interspeech 2025 A Survey on Efficient Federated Learning Methods for Foundation Model Training IJCAI 2024 Bidirectional Contrastive Split Learning for Visual Question Answering AAAI 2024 Can Public Large Language Models Help Private Cross-device Federated Learning? NAACL 2024 Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline CVPR 2024 Faster Algorithms for User-Level Private Stochastic Convex Optimization NeurIPS 2024 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NeurIPS 2024 In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification CVPR 2024 KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server EMNLP 2024 Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition WACV 2024 On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024 Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives NeurIPS 2024 Privacy-Preserving Optics for Enhancing Protection in Face De-Identification CVPR 2024 Protecting Split Learning by Potential Energy Loss IJCAI 2024 Safely Learning with Private Data: A Federated Learning Framework for Large Language Model EMNLP 2024 Scalable DP-SGD: Shuffling vs. Poisson Subsampling NeurIPS 2024 Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024 Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models NAACL 2024 A Unified Fast Gradient Clipping Framework for DP-SGD NeurIPS 2023 CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss CVPR 2023 Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting ACL 2023 Differentially Private Learning with Per-Sample Adaptive Clipping AAAI 2023