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FedGEMS: Federated Learning of Larger Server Models via Selective
  Knowledge Fusion

FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion

21 October 2021
Sijie Cheng
Jingwen Wu
Yanghua Xiao
Yang Liu
Yang Liu
    FedML
ArXivPDFHTML

Papers citing "FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion"

15 / 15 papers shown
Title
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation
Qianren Mao
Qili Zhang
Hanwen Hao
Zhentao Han
Runhua Xu
...
Jing Chen
Yangqiu Song
Jin Dong
Jianxin Li
Philip S. Yu
76
1
0
27 Apr 2025
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models
Y. Cai
Ziqi Zhang
Ding Li
Yao Guo
Xiangqun Chen
60
0
0
13 Mar 2025
Beyond Model Scale Limits: End-Edge-Cloud Federated Learning with Self-Rectified Knowledge Agglomeration
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Ke Xu
Quyang Pan
Bo Gao
Tian Wen
FedML
30
0
0
03 Jan 2025
Federated Model Heterogeneous Matryoshka Representation Learning
Federated Model Heterogeneous Matryoshka Representation Learning
Liping Yi
Han Yu
Chao Ren
Gang Wang
Xiaoguang Liu
Xiaoxiao Li
FedML
51
8
0
01 Jun 2024
Practical Insights into Knowledge Distillation for Pre-Trained Models
Practical Insights into Knowledge Distillation for Pre-Trained Models
Norah Alballa
Marco Canini
48
2
0
22 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
Sebastian Pokutta
AAML
57
1
0
19 Feb 2024
Logit Poisoning Attack in Distillation-based Federated Learning and its
  Countermeasures
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures
Yonghao Yu
Shunan Zhu
Jinglu Hu
AAML
FedML
37
0
0
31 Jan 2024
Teacher-Student Architecture for Knowledge Distillation: A Survey
Teacher-Student Architecture for Knowledge Distillation: A Survey
Chengming Hu
Xuan Li
Danyang Liu
Haolun Wu
Xi Chen
Ju Wang
Xue Liu
21
16
0
08 Aug 2023
Edge-cloud Collaborative Learning with Federated and Centralized
  Features
Edge-cloud Collaborative Learning with Federated and Centralized Features
Zexi Li
Qunwei Li
Yi Zhou
Wenliang Zhong
Guannan Zhang
Chao-Xiang Wu
FedML
39
10
0
12 Apr 2023
Knowledge Distillation in Federated Edge Learning: A Survey
Knowledge Distillation in Federated Edge Learning: A Survey
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Xue Jiang
Runhan Li
Bo Gao
FedML
35
4
0
14 Jan 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Quyang Pan
Xue Jiang
Bo Gao
37
32
0
01 Jan 2023
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in
  Federated Learning
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Yae Jee Cho
Andre Manoel
Gauri Joshi
Robert Sim
Dimitrios Dimitriadis
FedML
32
129
0
27 Apr 2022
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
168
566
0
27 Jul 2020
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
90
516
0
09 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,599
0
17 Apr 2017
1