Why is Federated Learning Important in Cancer Research?
Cancer research often involves large datasets containing sensitive patient information, making data privacy a critical concern. Federated learning allows researchers to collaborate and build robust models without compromising patient confidentiality. This approach also enables the integration of data from multiple institutions, enhancing the model's accuracy and generalizability by incorporating diverse patient demographics and cancer types.
