ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.10252
  4. Cited By
Federated Multi-Task Learning under a Mixture of Distributions

Federated Multi-Task Learning under a Mixture of Distributions

23 August 2021
Othmane Marfoq
Giovanni Neglia
A. Bellet
Laetitia Kameni
Richard Vidal
    FedML
ArXivPDFHTML

Papers citing "Federated Multi-Task Learning under a Mixture of Distributions"

40 / 140 papers shown
Title
Decentralized Hyper-Gradient Computation over Time-Varying Directed
  Networks
Decentralized Hyper-Gradient Computation over Time-Varying Directed Networks
Naoyuki Terashita
Satoshi Hara
FedML
16
1
0
05 Oct 2022
Characterizing Internal Evasion Attacks in Federated Learning
Characterizing Internal Evasion Attacks in Federated Learning
Taejin Kim
Shubhranshu Singh
Nikhil Madaan
Carlee Joe-Wong
FedML
24
9
0
17 Sep 2022
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation
  Framework for Efficient Device Model Generalization
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
Zheqi Lv
Wenqiao Zhang
Shengyu Zhang
Kun Kuang
Feng Wang
...
Zhengyu Chen
T. Shen
Hongxia Yang
Bengchin Ooi
Fei Wu
34
52
0
12 Sep 2022
BOBA: Byzantine-Robust Federated Learning with Label Skewness
BOBA: Byzantine-Robust Federated Learning with Label Skewness
Wenxuan Bao
Jun Wu
Jingrui He
OOD
15
5
0
27 Aug 2022
Collaborative Algorithms for Online Personalized Mean Estimation
Collaborative Algorithms for Online Personalized Mean Estimation
Mahsa Asadi
A. Bellet
Odalric-Ambrym Maillard
Marc Tommasi
FedML
33
4
0
24 Aug 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source
  Frameworks
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks
Xiaoyuan Liu
Tianneng Shi
Chulin Xie
Qinbin Li
Kangping Hu
...
The-Anh Vu-Le
Zhen Huang
Arash Nourian
Bo-wen Li
D. Song
FedML
12
8
0
21 Jul 2022
FOCUS: Fairness via Agent-Awareness for Federated Learning on
  Heterogeneous Data
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data
Wen-Hsuan Chu
Chulin Xie
Boxin Wang
Linyi Li
Lang Yin
Arash Nourian
Hantong Zhao
Bo-wen Li
FedML
6
12
0
21 Jul 2022
Reducing Training Time in Cross-Silo Federated Learning using Multigraph
  Topology
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology
Tuong Khanh Long Do
Binh X. Nguyen
Vuong Pham
Toan V. Tran
Erman Tjiputra
Quang-Dieu Tran
A. Nguyen
FedML
AI4CE
18
3
0
20 Jul 2022
Personalizing Federated Medical Image Segmentation via Local Calibration
Personalizing Federated Medical Image Segmentation via Local Calibration
Jiacheng Wang
Yueming Jin
Liansheng Wang
FedML
8
31
0
11 Jul 2022
Smart Multi-tenant Federated Learning
Smart Multi-tenant Federated Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
20
2
0
09 Jul 2022
A Generative Framework for Personalized Learning and Estimation: Theory,
  Algorithms, and Privacy
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy
Kaan Ozkara
Antonious M. Girgis
Deepesh Data
Suhas Diggavi
FedML
14
3
0
05 Jul 2022
An Empirical Study of Personalized Federated Learning
An Empirical Study of Personalized Federated Learning
Koji Matsuda
Yuya Sasaki
Chuan Xiao
Makoto Onizuka
OOD
FedML
11
6
0
27 Jun 2022
FLaaS: Cross-App On-device Federated Learning in Mobile Environments
FLaaS: Cross-App On-device Federated Learning in Mobile Environments
Kleomenis Katevas
Diego Perino
N. Kourtellis
FedML
17
1
0
22 Jun 2022
Motley: Benchmarking Heterogeneity and Personalization in Federated
  Learning
Motley: Benchmarking Heterogeneity and Personalization in Federated Learning
Shan-shan Wu
Tian Li
Zachary B. Charles
Yu Xiao
Ziyu Liu
Zheng Xu
Virginia Smith
FedML
17
44
0
18 Jun 2022
Federated learning with incremental clustering for heterogeneous data
Federated learning with incremental clustering for heterogeneous data
F. E. Castellon
Aurélien Mayoue
Jacques-Henri Sublemontier
Cédric Gouy-Pailler
FedML
16
7
0
17 Jun 2022
Global Convergence of Federated Learning for Mixed Regression
Global Convergence of Federated Learning for Mixed Regression
Lili Su
Jiaming Xu
Pengkun Yang
FedML
15
7
0
15 Jun 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning
Daoyuan Chen
Dawei Gao
Weirui Kuang
Yaliang Li
Bolin Ding
FedML
17
63
0
08 Jun 2022
On the Generalization of Wasserstein Robust Federated Learning
On the Generalization of Wasserstein Robust Federated Learning
Tung Nguyen
Tuan Dung Nguyen
Long Tan Le
Canh T. Dinh
N. H. Tran
OOD
FedML
8
6
0
03 Jun 2022
On the (In)security of Peer-to-Peer Decentralized Machine Learning
On the (In)security of Peer-to-Peer Decentralized Machine Learning
Dario Pasquini
Mathilde Raynal
Carmela Troncoso
OOD
FedML
32
19
0
17 May 2022
Personalized Federated Learning with Multiple Known Clusters
Personalized Federated Learning with Multiple Known Clusters
Boxiang Lyu
Filip Hanzely
Mladen Kolar
FedML
15
3
0
28 Apr 2022
Self-Aware Personalized Federated Learning
Self-Aware Personalized Federated Learning
Huili Chen
Jie Ding
Eric W. Tramel
Shuang Wu
Anit Kumar Sahu
Salman Avestimehr
Tao Zhang
FedML
16
26
0
17 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
9
88
0
11 Apr 2022
Refined Convergence and Topology Learning for Decentralized SGD with
  Heterogeneous Data
Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data
B. L. Bars
A. Bellet
Marc Tommasi
Erick Lavoie
Anne-Marie Kermarrec
FedML
6
25
0
09 Apr 2022
Addressing Client Drift in Federated Continual Learning with Adaptive
  Optimization
Addressing Client Drift in Federated Continual Learning with Adaptive Optimization
Yeshwanth Venkatesha
Youngeun Kim
Hyoungseob Park
Yuhang Li
Priyadarshini Panda
FedML
11
7
0
24 Mar 2022
Cross-Silo Heterogeneous Model Federated Multitask Learning
Cross-Silo Heterogeneous Model Federated Multitask Learning
Xingjian Cao
Zonghang Li
Gang Sun
Hongfang Yu
Mohsen Guizani
FedML
4
10
0
17 Feb 2022
Personalization Improves Privacy-Accuracy Tradeoffs in Federated
  Learning
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
A. Bietti
Chen-Yu Wei
Miroslav Dudík
John Langford
Zhiwei Steven Wu
FedML
12
43
0
10 Feb 2022
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
Yichen Ruan
Carlee Joe-Wong
FedML
11
86
0
11 Dec 2021
Personalized Federated Learning through Local Memorization
Personalized Federated Learning through Local Memorization
Othmane Marfoq
Giovanni Neglia
Laetitia Kameni
Richard Vidal
FedML
12
86
0
17 Nov 2021
Differentially Private Federated Learning on Heterogeneous Data
Differentially Private Federated Learning on Heterogeneous Data
Maxence Noble
A. Bellet
Aymeric Dieuleveut
FedML
11
101
0
17 Nov 2021
On-Demand Unlabeled Personalized Federated Learning
On-Demand Unlabeled Personalized Federated Learning
Ohad Amosy
G. Eyal
Gal Chechik
FedML
21
2
0
16 Nov 2021
Federated Expectation Maximization with heterogeneity mitigation and
  variance reduction
Federated Expectation Maximization with heterogeneity mitigation and variance reduction
Aymeric Dieuleveut
G. Fort
Eric Moulines
Geneviève Robin
FedML
15
5
0
03 Nov 2021
User-Centric Federated Learning
User-Centric Federated Learning
Mohamad Mestoukirdi
Matteo Zecchin
David Gesbert
Qianrui Li
N. Gresset
FedML
11
6
0
19 Oct 2021
Federated Learning from Small Datasets
Federated Learning from Small Datasets
Michael Kamp
Jonas Fischer
Jilles Vreeken
FedML
8
26
0
07 Oct 2021
Connecting Low-Loss Subspace for Personalized Federated Learning
Connecting Low-Loss Subspace for Personalized Federated Learning
S. Hahn
Minwoo Jeong
Junghye Lee
FedML
14
18
0
16 Sep 2021
D-Cliques: Compensating for Data Heterogeneity with Topology in
  Decentralized Federated Learning
D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning
A. Bellet
Anne-Marie Kermarrec
Erick Lavoie
FedML
13
21
0
15 Apr 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X
  Learning
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
13
75
0
25 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
Xiaoxiao Li
Meirui Jiang
Xiaofei Zhang
Michael Kamp
Qi Dou
OOD
FedML
168
770
0
15 Feb 2021
Privacy Amplification by Decentralization
Privacy Amplification by Decentralization
Edwige Cyffers
A. Bellet
FedML
34
39
0
09 Dec 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane Marfoq
Chuan Xu
Giovanni Neglia
Richard Vidal
FedML
43
85
0
23 Oct 2020
Adaptive Personalized Federated Learning
Adaptive Personalized Federated Learning
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
183
535
0
30 Mar 2020
Previous
123