Knowledge Distillation in Federated Edge Learning: A Survey

14 January 2023

Papers citing "Knowledge Distillation in Federated Edge Learning: A Survey"

5 / 5 papers shown

Title
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation Xinge Ma Jin Wang Xuejie Zhang FedML 60 0 0 08 Mar 2025
Logits Poisoning Attack in Federated Distillation Yuhan Tang Zhiyuan Wu Bo Gao Tian Wen Yuwei Wang Sheng Sun FedML AAML 18 1 0 08 Jan 2024
Federated Skewed Label Learning with Logits Fusion Yuwei Wang Runhan Li Hao Tan Xue Jiang Sheng Sun Min Liu Bo Gao Zhiyuan Wu FedML 17 5 0 14 Nov 2023
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 24 22 0 20 Jul 2023
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 267 402 0 09 Apr 2018