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   Articles with "multi teacher" as a keyword



Knowledge Distillation via Multi-Teacher Feature Ensemble

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recommendations! Published in 2024 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2024.3359573

Abstract: This letter proposes a novel method for effectively utilizing multiple teachers in feature-based knowledge distillation. Our method involves a multi-teacher feature ensemble module for generating a robust feature ensemble and a student-teacher mapping module for… read more here.

Keywords: feature ensemble; multi teacher; teacher feature; knowledge distillation ... See more keywords

BadCleaner: Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation

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recommendations! Published in 2024 at "IEEE Transactions on Dependable and Secure Computing"

DOI: 10.1109/tdsc.2024.3354049

Abstract: As a privacy-preserving distributed learning paradigm, federated learning (FL) has been proven to be vulnerable to various attacks, among which backdoor attack is one of the toughest. In this attack, malicious users attempt to embed… read more here.

Keywords: multi teacher; attention; via attention; federated learning ... See more keywords

Multi-Teacher Temporal Regulation Network for Surgical Workflow Recognition

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recommendations! Published in 2025 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2025.3580082

Abstract: Automatic recognition of surgical workflow plays a vital role in modern operating rooms. Given the complex nature and extended duration of surgical videos, accurate recognition of surgical workflow is highly challenging. Despite being widely studied,… read more here.

Keywords: multi teacher; recognition; temporal regulation; surgical workflow ... See more keywords

A Multi-Teacher Distilling Framework With Data Privacy for EEG Emotion Recognition.

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recommendations! Published in 2025 at "Journal of integrative neuroscience"

DOI: 10.31083/jin44121

Abstract: BACKGROUND This study addressed three key challenges in subject-independent electroencephalography (EEG) emotion recognition: limited data availability, restricted cross-domain knowledge transfer, and suboptimal feature extraction. The aim is to develop an innovative framework that enhances recognition… read more here.

Keywords: multi teacher; privacy; knowledge; emotion recognition ... See more keywords