| Artemis: HE-Aware Training for Efficient Privacy-Preserving Machine Learning | Oct 2, 2023 | Model CompressionPrivacy Preserving | —Unverified | 0 |
| FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models | Oct 2, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Privacy-Preserving Distributed Market Mechanism for Active Distribution Networks | Sep 30, 2023 | Distributed OptimizationPrivacy Preserving | —Unverified | 0 |
| Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning | Sep 30, 2023 | Federated LearningModel Compression | —Unverified | 0 |
| Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study | Sep 30, 2023 | Privacy Preserving | —Unverified | 0 |
| Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping | Sep 29, 2023 | Automatic Speech RecognitionAutomatic Speech Recognition (ASR) | —Unverified | 0 |
| Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models | Sep 29, 2023 | Geographic Question AnsweringPrivacy Preserving | —Unverified | 0 |
| FedZeN: Towards superlinear zeroth-order federated learning via incremental Hessian estimation | Sep 29, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework | Sep 29, 2023 | Privacy PreservingRecommendation Systems | CodeCode Available | 0 |
| Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning | Sep 28, 2023 | Domain GeneralizationFederated Learning | CodeCode Available | 1 |
