Communication in latent space offers an intriguing alternative to symbolic messages for decentralized autonomous Unmanned Aerial Vehicle (UAV) swarms operating over bandwidth-constrained, time-varying wireless links. However, when homogeneous frozen models are prompted with discretized perceptual inputs, their broadcas...
Simultaneous assessment of medical imaging and patient records is often required in clinical diagnosis. However, standard machine learning algorithms cannot analyze these data types together. Meanwhile, compliance with HIPAA and GDPR can constrain centralized aggregation of sensitive patient data. This leaves a crucial...
Federated Learning (FL) is increasingly important in Internet of Things (IoT) for healthcare, as it facilitates decentralized training of machine learning models while ensuring privacy of sensitive data. However, FL faces difficulties with pathological non-Independent and Identically Distributed (non-IID) setting, wher...