Summary of Hydra-fl: Hybrid Knowledge Distillation For Robust and Accurate Federated Learning, by Momin Ahmad Khan et al.
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learningby Momin Ahmad Khan, Yasra Chandio,…
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learningby Momin Ahmad Khan, Yasra Chandio,…
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillationby Huidong Tang, Chen Li, Huachong Yu,…
Enhancing TinyBERT for Financial Sentiment Analysis Using GPT-Augmented FinBERT Distillationby Graison Jos ThomasFirst submitted to…
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integrationby Mahdi Morafah, Vyacheslav Kungurtsev,…
Privacy Evaluation Benchmarks for NLP Modelsby Wei Huang, Yinggui Wang, Cen ChenFirst submitted to arxiv…
Applied Federated Model Personalisation in the Industrial Domain: A Comparative Studyby Ilias Siniosoglou, Vasileios Argyriou,…
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generatorby Kangyang Luo, Shuai Wang,…
Gating Syn-to-Real Knowledge for Pedestrian Crossing Prediction in Safe Drivingby Jie Bai, Jianwu Fang, Yisheng…
Joint Input and Output Coordination for Class-Incremental Learningby Shuai Wang, Yibing Zhan, Yong Luo, Han…
LoCa: Logit Calibration for Knowledge Distillationby Runming Yang, Taiqiang Wu, Yujiu YangFirst submitted to arxiv…