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Bayesian Nonparametric Federated Learning of Neural Networks

Bayesian Nonparametric Federated Learning of Neural Networks

28 May 2019
Mikhail Yurochkin
Mayank Agarwal
S. Ghosh
Kristjan Greenewald
T. Hoang
Y. Khazaeni
    FedML
ArXivPDFHTML

Papers citing "Bayesian Nonparametric Federated Learning of Neural Networks"

50 / 145 papers shown
Title
Incentivizing Inclusive Contributions in Model Sharing Markets
Incentivizing Inclusive Contributions in Model Sharing Markets
Enpei Zhang
Jingyi Chai
Guangyi Liu
Yanfeng Wang
Siheng Chen
TDI
FedML
236
0
0
05 May 2025
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions
Flora Amato
Lingyu Qiu
Mohammad Tanveer
S. Cuomo
F. Giampaolo
F. Piccialli
FedML
63
0
0
05 May 2025
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
Sarang S
Druva Dhakshinamoorthy
Aditya Shiva Sharma
Yuvraj Singh Bhadauria
Siddharth Chaitra Vivek
Arihant Bansal
Arnab K. Paul
FedML
41
0
0
26 Apr 2025
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
Yuting He
Yiqiang Chen
Xiaodong Yang
H. Yu
Yi-Hua Huang
Yang Gu
FedML
69
21
0
20 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Query-based Knowledge Transfer for Heterogeneous Learning Environments
Norah Alballa
Wenxuan Zhang
Ziquan Liu
A. Abdelmoniem
Mohamed Elhoseiny
Marco Canini
38
0
0
12 Apr 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
Changlong Shi
Jinmeng Li
He Zhao
D. Guo
Yi Chang
FedML
57
0
0
19 Mar 2025
BTFL: A Bayesian-based Test-Time Generalization Method for Internal and External Data Distributions in Federated learning
Yu Zhou
Bingyan Liu
FedML
OOD
TTA
61
0
0
09 Mar 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
Yuxia Sun
Aoxiang Sun
Siyi Pan
Zhixiao Fu
Jingcai Guo
91
0
0
11 Feb 2025
Vision-Language Models for Edge Networks: A Comprehensive Survey
Vision-Language Models for Edge Networks: A Comprehensive Survey
Ahmed Sharshar
Latif U. Khan
Waseem Ullah
Mohsen Guizani
VLM
75
3
0
11 Feb 2025
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration
Yuchen Hu
Xi Chen
Weidong Liu
Xiaojun Mao
67
0
0
31 Jan 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Milad Khademi Nori
Il-Min Kim
Guanghui
CLL
72
1
0
26 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments
Mehdi Ben Ghali
Reda Bellafqira
Gouenou Coatrieux
AAML
FedML
53
0
0
21 Jan 2025
Federated Heavy Hitter Analytics with Local Differential Privacy
Federated Heavy Hitter Analytics with Local Differential Privacy
Yuemin Zhang
Qingqing Ye
Haibo Hu
FedML
95
1
0
03 Jan 2025
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient
Lei Zhou
Youwen Zhu
Qiao Xue
Ji Zhang
Pengfei Zhang
MU
99
1
0
28 Nov 2024
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation
M-U Jang
Hye Won Chung
TTA
278
0
0
20 Nov 2024
Federated Learning with Relative Fairness
Federated Learning with Relative Fairness
Shogo H. Nakakita
Tatsuya Kaneko
Shinya Takamaeda-Yamazaki
Masaaki Imaizumi
FedML
39
2
0
02 Nov 2024
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning
Jun Bai
Yiliao Song
Di Wu
Atul Sajjanhar
Yong Xiang
Wei Zhou
Xiaohui Tao
Yan Li
Yuante Li
FedML
55
0
0
28 Oct 2024
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Closed-form merging of parameter-efficient modules for Federated Continual Learning
Riccardo Salami
Pietro Buzzega
Matteo Mosconi
Jacopo Bonato
Luigi Sabetta
Simone Calderara
FedML
MoMe
CLL
44
2
0
23 Oct 2024
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized
  Federated Learning
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
Zhilong Li
Xiaohu Wu
Xiaoli Tang
Tiantian He
Yew-Soon Ong
Mengmeng Chen
Qiqi Liu
Qicheng Lao
Han Yu
FedML
47
1
0
09 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
Nurbek Tastan
Samuel Horváth
Martin Takáč
Karthik Nandakumar
FedML
64
0
0
03 Oct 2024
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation
Zezhou Wang
Yaxin Du
Zhuzhong Qian
Yugang Jiang
Zhuzhong Qian
Siheng Chen
FedML
233
0
0
30 Sep 2024
FedNE: Surrogate-Assisted Federated Neighbor Embedding for
  Dimensionality Reduction
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
Ziwei Li
Xiaoqi Wang
Hong-You Chen
Han-Wei Shen
Wei-Lun Chao
FedML
39
0
0
17 Sep 2024
Stable Diffusion-based Data Augmentation for Federated Learning with
  Non-IID Data
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
Mahdi Morafah
M. Reisser
Bill Lin
Christos Louizos
FedML
36
5
0
13 May 2024
FAGH: Accelerating Federated Learning with Approximated Global Hessian
FAGH: Accelerating Federated Learning with Approximated Global Hessian
Mrinmay Sen
A. K. Qin
Krishna Mohan
FedML
34
0
0
16 Mar 2024
Federated Learning over Connected Modes
Federated Learning over Connected Modes
Dennis Grinwald
Philipp Wiesner
Shinichi Nakajima
FedML
50
0
0
05 Mar 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
Ha Min Son
M. Kim
Tai-Myung Chung
Chao Huang
Xin Liu
FedML
43
3
0
27 Feb 2024
Stochastic Approximation Approach to Federated Machine Learning
Stochastic Approximation Approach to Federated Machine Learning
P. V. Srihari
B. Bhikkaji
FedML
32
0
0
20 Feb 2024
Towards Meta-Pruning via Optimal Transport
Towards Meta-Pruning via Optimal Transport
Alexander Theus
Olin Geimer
Friedrich Wicke
Thomas Hofmann
Sotiris Anagnostidis
Sidak Pal Singh
MoMe
24
3
0
12 Feb 2024
Federated Learning with Extremely Noisy Clients via Negative
  Distillation
Federated Learning with Extremely Noisy Clients via Negative Distillation
Yang Lu
Lin Chen
Yonggang Zhang
Yiliang Zhang
Bo Han
Yiu-ming Cheung
Hanzi Wang
FedML
35
9
0
20 Dec 2023
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms
  for Federated Learning
FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning
Ensiye Kiyamousavi
Boris Kraychev
Ivan Koychev
FedML
16
0
0
11 Oct 2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior
  Aggregation
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
Xiang Liu
Liangxi Liu
Feiyang Ye
Yunheng Shen
Xia Li
Linshan Jiang
Jialin Li
46
4
0
30 Sep 2023
Mode Connectivity and Data Heterogeneity of Federated Learning
Mode Connectivity and Data Heterogeneity of Federated Learning
Tailin Zhou
Jun Zhang
Danny H. K. Tsang
FedML
41
3
0
29 Sep 2023
Towards Instance-adaptive Inference for Federated Learning
Towards Instance-adaptive Inference for Federated Learning
Chunhui Feng
Kai Yu
Nian Liu
Xinxing Xu
Salman Khan
W. Zuo
FedML
41
12
0
11 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection
FLIPS: Federated Learning using Intelligent Participant Selection
R. Bhope
K.R. Jayaram
N. Venkatasubramanian
Ashish Verma
Gegi Thomas
FedML
39
3
0
07 Aug 2023
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
Sajjad Emdadi Mahdimahalleh
AI4CE
40
0
0
01 Aug 2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with
  Linear Speedup
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup
Yan Sun
Li Shen
Hao Sun
Liang Ding
Dacheng Tao
FedML
29
17
0
30 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model
  Utility, Privacy Leakage, and Communication Efficiency
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
50
23
0
20 Jul 2023
Boosting Federated Learning Convergence with Prototype Regularization
Boosting Federated Learning Convergence with Prototype Regularization
Yu Qiao
Huy Q. Le
Choong Seon Hong
FedML
40
6
0
20 Jul 2023
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning
Chia-Hsiang Kao
Yu-Chiang Frank Wang
FedML
31
1
0
19 Jul 2023
Benchmarking Algorithms for Federated Domain Generalization
Benchmarking Algorithms for Federated Domain Generalization
Ruqi Bai
S. Bagchi
David I. Inouye
FedML
40
12
0
11 Jul 2023
FedNoisy: Federated Noisy Label Learning Benchmark
FedNoisy: Federated Noisy Label Learning Benchmark
Siqi Liang
Jintao Huang
Junyuan Hong
Dun Zeng
Jiayu Zhou
Zenglin Xu
FedML
45
7
0
20 Jun 2023
A Simple Data Augmentation for Feature Distribution Skewed Federated
  Learning
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning
Yu-Hu Yan
Lei Zhu
FedML
OOD
37
10
0
14 Jun 2023
Federated Learning with Classifier Shift for Class Imbalance
Federated Learning with Classifier Shift for Class Imbalance
Yunheng Shen
Haoxiang Wang
Hairong Lv
FedML
11
5
0
11 Apr 2023
Gradient Sparsification for Efficient Wireless Federated Learning with
  Differential Privacy
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Kang Wei
Jun Li
Chuan Ma
Ming Ding
Feng Shu
Haitao Zhao
Wen Chen
Hongbo Zhu
FedML
43
4
0
09 Apr 2023
Prototype Helps Federated Learning: Towards Faster Convergence
Prototype Helps Federated Learning: Towards Faster Convergence
Yu Qiao
Seong-Bae Park
Sun Moo Kang
Choong Seon Hong
FedML
21
11
0
22 Mar 2023
Federated Learning via Variational Bayesian Inference: Personalization,
  Sparsity and Clustering
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering
Xu Zhang
Wenpeng Li
Yunfeng Shao
Yinchuan Li
FedML
30
4
0
08 Mar 2023
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in
  Federated Learning
FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning
Shih-Fang Chang
Benny Wei-Yun Hsu
Tien-Yu Chang
Vincent S. Tseng
15
2
0
27 Feb 2023
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data
  with Convergence Analysis
FedIL: Federated Incremental Learning from Decentralized Unlabeled Data with Convergence Analysis
Nan Yang
Dong Yuan
Charles Z. Liu
Yong Deng
Wei Bao
FedML
71
5
0
23 Feb 2023
Delving into the Adversarial Robustness of Federated Learning
Delving into the Adversarial Robustness of Federated Learning
Jie M. Zhang
Bo Li
Chen Chen
Lingjuan Lyu
Shuang Wu
Shouhong Ding
Chao Wu
FedML
43
34
0
19 Feb 2023
Equivariant Architectures for Learning in Deep Weight Spaces
Equivariant Architectures for Learning in Deep Weight Spaces
Aviv Navon
Aviv Shamsian
Idan Achituve
Ethan Fetaya
Gal Chechik
Haggai Maron
52
63
0
30 Jan 2023
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