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Architecture Agnostic Federated Learning for Neural Networks

Architecture Agnostic Federated Learning for Neural Networks

15 February 2022
Disha Makhija
Xing Han
Nhat Ho
Joydeep Ghosh
    FedML
ArXivPDFHTML

Papers citing "Architecture Agnostic Federated Learning for Neural Networks"

25 / 25 papers shown
Title
From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification
From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification
Yan Jiang
Hao Yu
Xu Cheng
Haoyu Chen
Zhaodong Sun
Guoying Zhao
42
1
0
15 Mar 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
Xiuwen Fang
Mang Ye
Bo Du
FedML
66
1
0
12 Mar 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
30
8
0
01 Jun 2024
Federated Learning for Estimating Heterogeneous Treatment Effects
Federated Learning for Estimating Heterogeneous Treatment Effects
Disha Makhija
Joydeep Ghosh
Yejin Kim
CML
FedML
22
2
0
27 Feb 2024
Horizontal Federated Computer Vision
Horizontal Federated Computer Vision
Paul K. Mandal
Cole Leo
Connor Hurley
FedML
ObjD
20
0
0
31 Dec 2023
Model-Heterogeneous Federated Learning for Internet of Things: Enabling
  Technologies and Future Directions
Model-Heterogeneous Federated Learning for Internet of Things: Enabling Technologies and Future Directions
Boyu Fan
Siyang Jiang
Xiang Su
Pan Hui
10
5
0
19 Dec 2023
FedSSA: Semantic Similarity-based Aggregation for Efficient
  Model-Heterogeneous Personalized Federated Learning
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning
Liping Yi
Han Yu
Zhuan Shi
Gang Wang
Xiaoguang Liu
Lizhen Cui
Xiaoxiao Li
FedML
27
6
0
14 Dec 2023
pFedES: Model Heterogeneous Personalized Federated Learning with Feature
  Extractor Sharing
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing
Liping Yi
Han Yu
Gang Wang
Xiaoguang Liu
19
7
0
12 Nov 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated
  Learning
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning
Kangyang Luo
Shuai Wang
Y. Fu
Xiang Li
Yunshi Lan
Minghui Gao
FedML
11
23
0
24 Sep 2023
UNIDEAL: Curriculum Knowledge Distillation Federated Learning
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
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
29
244
0
20 Jul 2023
Secure and Fast Asynchronous Vertical Federated Learning via Cascaded
  Hybrid Optimization
Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization
Ganyu Wang
Qingsong Zhang
Li Xiang
Boyu Wang
Bin Gu
Charles X. Ling
FedML
14
2
0
28 Jun 2023
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings
Disha Makhija
Joydeep Ghosh
Nhat Ho
FedML
11
2
0
13 Jun 2023
Global Layers: Non-IID Tabular Federated Learning
Global Layers: Non-IID Tabular Federated Learning
Yazan Obeidi
FedML
26
0
0
29 May 2023
Collaborative Learning via Prediction Consensus
Collaborative Learning via Prediction Consensus
Dongyang Fan
Celestine Mendler-Dünner
Martin Jaggi
FedML
20
7
0
29 May 2023
A Generalized Look at Federated Learning: Survey and Perspectives
A Generalized Look at Federated Learning: Survey and Perspectives
Taki Hasan Rafi
Faiza Anan Noor
Tahmid Hussain
Dong-Kyu Chae
Zhaohui Yang
OOD
FedML
22
0
0
26 Mar 2023
FedGH: Heterogeneous Federated Learning with Generalized Global Header
FedGH: Heterogeneous Federated Learning with Generalized Global Header
Liping Yi
Gang Wang
Xiaoguang Liu
Zhuan Shi
Han Yu
FedML
12
71
0
23 Mar 2023
Personalised Federated Learning On Heterogeneous Feature Spaces
Personalised Federated Learning On Heterogeneous Feature Spaces
A. Rakotomamonjy
Maxime Vono
H. M. Ruiz
L. Ralaivola
FedML
13
8
0
26 Jan 2023
Decentralized Learning with Multi-Headed Distillation
Decentralized Learning with Multi-Headed Distillation
A. Zhmoginov
Mark Sandler
Nolan Miller
Gus Kristiansen
Max Vladymyrov
FedML
17
4
0
28 Nov 2022
Completely Heterogeneous Federated Learning
Completely Heterogeneous Federated Learning
Chang-Shu Liu
Yuwen Yang
Xun Cai
Yue Ding
Hongtao Lu
FedML
15
8
0
28 Oct 2022
Federated Learning of Neural ODE Models with Different Iteration Counts
Federated Learning of Neural ODE Models with Different Iteration Counts
Yuto Hoshino
Hiroki Kawakami
Hiroki Matsutani
FedML
10
0
0
19 Aug 2022
Personalized Subgraph Federated Learning
Personalized Subgraph Federated Learning
Jinheon Baek
Wonyong Jeong
Jiongdao Jin
Jaehong Yoon
Sung Ju Hwang
FedML
9
51
0
21 Jun 2022
Federated Self-supervised Learning for Heterogeneous Clients
Federated Self-supervised Learning for Heterogeneous Clients
Disha Makhija
Nhat Ho
Joydeep Ghosh
FedML
41
25
0
25 May 2022
Improving Transformers with Probabilistic Attention Keys
Improving Transformers with Probabilistic Attention Keys
Tam Nguyen
T. Nguyen
Dung D. Le
Duy Khuong Nguyen
Viet-Anh Tran
Richard G. Baraniuk
Nhat Ho
Stanley J. Osher
45
32
0
16 Oct 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous Clients
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
151
455
0
01 May 2021
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