| Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective | Feb 17, 2023 | Distributed ComputingFairness | —Unverified | 0 |
| Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning | Feb 17, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| A Federated Learning Benchmark for Drug-Target Interaction | Feb 15, 2023 | Federated LearningPrivacy Preserving | CodeCode Available | 0 |
| Federated Learning via Indirect Server-Client Communications | Feb 14, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks | Feb 14, 2023 | Federated LearningPrivacy Preserving | —Unverified | 0 |
| Differentially Private Normalizing Flows for Density Estimation, Data Synthesis, and Variational Inference with Application to Electronic Health Records | Feb 11, 2023 | Density EstimationPrivacy Preserving | CodeCode Available | 0 |
| Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks | Feb 11, 2023 | DiagnosticFederated Learning | —Unverified | 0 |
| Semi-decentralized Federated Ego Graph Learning for Recommendation | Feb 10, 2023 | Collaborative FilteringGraph Learning | —Unverified | 0 |
| Privacy Against Agnostic Inference Attacks in Vertical Federated Learning | Feb 10, 2023 | Federated LearningInference Attack | —Unverified | 0 |
| On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence | Feb 10, 2023 | Edge-computingModel Compression | —Unverified | 0 |
