IEEE

Modality-Agnostic Hybrid Federated Learning via Knowledge Distillation and Reinforcement Learning Based Aggregation

Abstract: Due to multidimensional heterogeneity, Multimodal Federated Learning (MMFL) confronts fundamental challenges including modality incongruence, modality agnosticism, and modality ...
GitHub

MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention

This is the official implementation of "MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention". MIRROR is a novel multi-modal representation ...
Frontiers

Evaluating haptic experience using EEG and deep learning across multiple modalities: linking stimulus and self-reports

Conventionally, evaluations of haptic interfaces have relied on self-reported assessments, which offer limited objectivity and can disrupt the user experience, making it challenging to design ...