Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data

Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data

20 April 2025

Papers citing "Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data"

10 / 10 papers shown

Title
Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Yingchao Wang Wenqi Niu 79 0 0 30 Nov 2024
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 84 0 0 19 Nov 2024
FedProK: Trustworthy Federated Class-Incremental Learning via Prototypical Feature Knowledge Transfer Xin Gao Xin Yang Hao Yu Yan Kang Tianrui Li CLL 33 1 0 04 May 2024
Federated Distillation: A Survey Lin Li Jianping Gou Baosheng Yu Lan Du Zhang Yiand Dacheng Tao DD FedML 46 4 0 02 Apr 2024
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning Pengchao Han Xingyan Shi Jianwei Huang FedML 20 3 0 28 Nov 2023
UNIDEAL: Curriculum Knowledge Distillation Federated Learning Yuwen Yang Chang Liu Xun Cai Suizhi Huang Hongtao Lu Yue Ding FedML 29 8 0 16 Sep 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 16 16 0 08 Aug 2023
Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization Xiachong Feng Xiaocheng Feng Xiyuan Du MingSung Kan Bing Qin FedML 11 5 0 07 Aug 2023
Adaptive Self-Distillation for Minimizing Client Drift in Heterogeneous Federated Learning M.Yashwanth Gaurav Kumar Nayak Aryaveer Singh Yogesh Singh Anirban Chakraborty FedML 19 1 0 31 May 2023
Knowledge Distillation for Federated Learning: a Practical Guide Alessio Mora Irene Tenison Paolo Bellavista Irina Rish FedML 14 17 0 09 Nov 2022