Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2003.13461
Cited By
Adaptive Personalized Federated Learning
30 March 2020
Yuyang Deng
Mohammad Mahdi Kamani
M. Mahdavi
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Adaptive Personalized Federated Learning"
50 / 308 papers shown
Title
FedGradNorm: Personalized Federated Gradient-Normalized Multi-Task Learning
Matin Mortaheb
Cemil Vahapoglu
S. Ulukus
23
11
0
24 Mar 2022
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation
An Xu
Wenqi Li
Pengfei Guo
Dong Yang
H. Roth
Ali Hatamizadeh
Can Zhao
Daguang Xu
Heng-Chiao Huang
Ziyue Xu
FedML
28
51
0
18 Mar 2022
Learning Distributionally Robust Models at Scale via Composite Optimization
Farzin Haddadpour
Mohammad Mahdi Kamani
M. Mahdavi
Amin Karbasi
OOD
8
5
0
17 Mar 2022
Continual Horizontal Federated Learning for Heterogeneous Data
Junki Mori
Isamu Teranishi
Ryo Furukawa
FedML
8
11
0
04 Mar 2022
Personalized Federated Learning With Graph
Fengwen Chen
Guodong Long
Zonghan Wu
Tianyi Zhou
Jing Jiang
FedML
17
52
0
02 Mar 2022
FedEmbed: Personalized Private Federated Learning
Andrew Silva
Katherine Metcalf
N. Apostoloff
B. Theobald
FedML
11
6
0
18 Feb 2022
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks
Xingjian Cao
Gang Sun
Hongfang Yu
Mohsen Guizani
FedML
14
56
0
18 Feb 2022
FLAME: Federated Learning Across Multi-device Environments
Hyunsung Cho
Akhil Mathur
F. Kawsar
11
21
0
17 Feb 2022
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning
A. Bietti
Chen-Yu Wei
Miroslav Dudík
John Langford
Zhiwei Steven Wu
FedML
20
43
0
10 Feb 2022
Federated Learning Challenges and Opportunities: An Outlook
Jie Ding
Eric W. Tramel
Anit Kumar Sahu
Shuang Wu
Salman Avestimehr
Tao Zhang
FedML
33
55
0
01 Feb 2022
Factorized-FL: Agnostic Personalized Federated Learning with Kernel Factorization & Similarity Matching
Wonyong Jeong
Sung Ju Hwang
FedML
32
4
0
01 Feb 2022
Achieving Personalized Federated Learning with Sparse Local Models
Tiansheng Huang
Shiwei Liu
Li Shen
Fengxiang He
Weiwei Lin
Dacheng Tao
FedML
22
43
0
27 Jan 2022
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems
Renjie Gu
Chaoyue Niu
Yikai Yan
Fan Wu
Shaojie Tang
Rongfeng Jia
Chengfei Lyu
Guihai Chen
14
9
0
24 Jan 2022
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning
S. Zhang
Jieyu Lin
Qi Zhang
35
62
0
09 Jan 2022
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving
Manabu Nakanoya
Junha Im
Hang Qiu
Sachin Katti
Marco Pavone
Sandeep P. Chinchali
FedML
16
11
0
02 Dec 2021
Personalized Federated Learning with Adaptive Batchnorm for Healthcare
Wang Lu
Jindong Wang
Yiqiang Chen
Xin Qin
Renjun Xu
Dimitrios Dimitriadis
Tao Qin
FedML
OOD
14
61
0
01 Dec 2021
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
26
76
0
26 Nov 2021
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
Elnur Gasanov
Ahmed Khaled
Samuel Horváth
Peter Richtárik
FedML
22
16
0
22 Nov 2021
Personalized Federated Learning through Local Memorization
Othmane Marfoq
Giovanni Neglia
Laetitia Kameni
Richard Vidal
FedML
20
87
0
17 Nov 2021
Linear Speedup in Personalized Collaborative Learning
El Mahdi Chayti
Sai Praneeth Karimireddy
Sebastian U. Stich
Nicolas Flammarion
Martin Jaggi
FedML
15
13
0
10 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
C. Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
30
50
0
09 Nov 2021
Unified Group Fairness on Federated Learning
Fengda Zhang
Kun Kuang
Yuxuan Liu
Long Chen
Chao-Xiang Wu
Fei Wu
Jiaxun Lu
Yunfeng Shao
Jun Xiao
FedML
55
20
0
09 Nov 2021
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective
Margalit Glasgow
Honglin Yuan
Tengyu Ma
FedML
25
42
0
05 Nov 2021
Parameterized Knowledge Transfer for Personalized Federated Learning
Jie M. Zhang
Song Guo
Xiaosong Ma
Haozhao Wang
Wencao Xu
Feijie Wu
25
176
0
04 Nov 2021
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection
Ali Anaissi
Basem Suleiman
FedML
17
1
0
04 Nov 2021
Implicit Model Specialization through DAG-based Decentralized Federated Learning
Jossekin Beilharz
Bjarne Pfitzner
R. Schmid
Paul Geppert
Bernd Arnrich
A. Polze
FedML
OOD
19
14
0
01 Nov 2021
ADDS: Adaptive Differentiable Sampling for Robust Multi-Party Learning
Maoguo Gong
Yuan Gao
Yue Wu
•. A. K. Qin
FedML
OOD
6
1
0
29 Oct 2021
Federated Learning with Heterogeneous Differential Privacy
Nasser Aldaghri
Hessam Mahdavifar
Ahmad Beirami
FedML
22
2
0
28 Oct 2021
Towards Model Agnostic Federated Learning Using Knowledge Distillation
A. Afonin
Sai Praneeth Karimireddy
FedML
30
44
0
28 Oct 2021
What Do We Mean by Generalization in Federated Learning?
Honglin Yuan
Warren Morningstar
Lin Ning
K. Singhal
OOD
FedML
24
71
0
27 Oct 2021
Optimal Model Averaging: Towards Personalized Collaborative Learning
Felix Grimberg
Mary-Anne Hartley
Sai Praneeth Karimireddy
Martin Jaggi
FedML
MoMe
17
15
0
25 Oct 2021
User-Centric Federated Learning
Mohamad Mestoukirdi
Matteo Zecchin
David Gesbert
Qianrui Li
N. Gresset
FedML
19
6
0
19 Oct 2021
Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning
Jun-Jie Luo
Shandong Wu
OOD
MQ
60
75
0
15 Oct 2021
WAFFLE: Weighted Averaging for Personalized Federated Learning
Martin Beaussart
Felix Grimberg
Mary-Anne Hartley
Martin Jaggi
FedML
13
16
0
13 Oct 2021
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
Fatemehsadat Mireshghallah
Vaishnavi Shrivastava
Milad Shokouhi
Taylor Berg-Kirkpatrick
Robert Sim
Dimitrios Dimitriadis
FedML
40
33
0
01 Oct 2021
Local Learning at the Network Edge for Efficient & Secure Real-Time Predictive Analytics
Natascha Harth
Hans-Jörg Vögel
Kostas Kolomvatsos
Christos Anagnostopoulos
11
12
0
25 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning
S. Hahn
Minwoo Jeong
Junghye Lee
FedML
14
18
0
16 Sep 2021
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization
Yen-hsiu Chou
linda Qiao
Chenxi Sun
D. Cai
Moxian Song
Hongyan Li
FedML
17
9
0
31 Aug 2021
Private Multi-Task Learning: Formulation and Applications to Federated Learning
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FedML
13
19
0
30 Aug 2021
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
Guodong Long
Tao Shen
Yue Tan
Leah Gerrard
Allison Clarke
Jing Jiang
FedML
18
45
0
24 Aug 2021
Federated Learning for Open Banking
Guodong Long
Yue Tan
Jing Jiang
Chengqi Zhang
AIFin
FedML
29
275
0
24 Aug 2021
Federated Multi-Task Learning under a Mixture of Distributions
Othmane Marfoq
Giovanni Neglia
A. Bellet
Laetitia Kameni
Richard Vidal
FedML
29
269
0
23 Aug 2021
Multi-Center Federated Learning: Clients Clustering for Better Personalization
Guodong Long
Ming Xie
Tao Shen
Tianyi Zhou
Xianzhi Wang
Jing Jiang
Chengqi Zhang
FedML
32
240
0
19 Aug 2021
FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning
Charlie Hou
K. K. Thekumparampil
Giulia Fanti
Sewoong Oh
FedML
30
14
0
16 Aug 2021
Dynamic Attention-based Communication-Efficient Federated Learning
Zihan Chen
Kai Fong Ernest Chong
Tony Q. S. Quek
FedML
42
11
0
12 Aug 2021
An Operator Splitting View of Federated Learning
Saber Malekmohammadi
K. Shaloudegi
Zeou Hu
Yaoliang Yu
FedML
24
2
0
12 Aug 2021
Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks
Sawan Singh Mahara
M. Shruti
B. Bharath
Akash Murthy
FedML
32
0
0
05 Aug 2021
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning
Kaan Ozkara
Navjot Singh
Deepesh Data
Suhas Diggavi
FedML
MQ
24
56
0
29 Jul 2021
New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning
Siddharth Divi
Yi-Shan Lin
Habiba Farrukh
Z. Berkay Celik
FedML
17
17
0
28 Jul 2021
Decentralized federated learning of deep neural networks on non-iid data
Noa Onoszko
Gustav Karlsson
Olof Mogren
Edvin Listo Zec
FedML
OOD
13
45
0
18 Jul 2021
Previous
1
2
3
4
5
6
7
Next