Preserving Privacy in Federated Learning with Ensemble Cross-Domain
Knowledge Distillation

Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation

10 September 2022

Abhishek Sharma

Srikrishna Karanam

Ziyan Wu

Papers citing "Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation"

13 / 13 papers shown

Title
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization Xiaoyang Yu Xiaoming Wu Xin Wang Dongrun Li Ming Yang Peng Cheng 26 0 0 14 May 2025
Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation Kitsuya Azuma Takayuki Nishio Yuichi Kitagawa Wakako Nakano Takahito Tanimura FedML 70 0 0 28 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 36 0 0 05 Apr 2025
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble Jacopo Talpini Marco Savi Giovanni Neglia FedML Presented at ResearchTrend Connect \| FedML on 07 May 2025 79 0 0 19 Mar 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis Luyuan Xie Tianyu Luan Wenyuan Cai Guochen Yan Zhaoyu Chen Nan Xi Yuejian Fang Qingni Shen Zhonghai Wu Junsong Yuan FedML 67 0 0 13 Mar 2025
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning Akash Dhasade Anne-Marie Kermarrec Tuan-Anh Nguyen Rafael Pires M. Vos FedML 33 0 0 24 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 58 6 0 19 May 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux Max Zimmer Sebastian Pokutta AAML 54 1 0 19 Feb 2024
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 43 23 0 20 Jul 2023
Decentralized Learning with Multi-Headed Distillation A. Zhmoginov Mark Sandler Nolan Miller Gus Kristiansen Max Vladymyrov FedML 37 4 0 28 Nov 2022
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes Irene Wang 32 1 0 30 Aug 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning Meisam Hejazinia Dzmitry Huba Ilias Leontiadis Kiwan Maeng Mani Malek Luca Melis Ilya Mironov Milad Nasr Kaikai Wang Carole-Jean Wu FedML 9 5 0 07 Jun 2022
Knowledge Distillation by On-the-Fly Native Ensemble Xu Lan Xiatian Zhu S. Gong 197 473 0 12 Jun 2018