| Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning | Sep 13, 2023 | Multi-agent Reinforcement LearningPrivacy Preserving | —Unverified | 0 |
| Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization | Sep 13, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Mitigating Group Bias in Federated Learning for Heterogeneous Devices | Sep 13, 2023 | Decision MakingEmotion Recognition | —Unverified | 0 |
| Recovering from Privacy-Preserving Masking with Large Language Models | Sep 12, 2023 | Language ModelingLanguage Modelling | —Unverified | 0 |
| Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems | Sep 12, 2023 | FairnessPrivacy Preserving | —Unverified | 0 |
| SABLE: Secure And Byzantine robust LEarning | Sep 11, 2023 | Image ClassificationPrivacy Preserving | —Unverified | 0 |
| Compact: Approximating Complex Activation Functions for Secure Computation | Sep 9, 2023 | Privacy Preserving | CodeCode Available | 0 |
| Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks | Sep 8, 2023 | Federated Learningimage-classification | —Unverified | 0 |
| Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach | Sep 8, 2023 | EthicsPrivacy Preserving | —Unverified | 0 |
| Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning | Sep 8, 2023 | BenchmarkingContinual Learning | CodeCode Available | 0 |
