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2003.00295
Cited By
Adaptive Federated Optimization
29 February 2020
Sashank J. Reddi
Zachary B. Charles
Manzil Zaheer
Zachary Garrett
Keith Rush
Jakub Konecný
Sanjiv Kumar
H. B. McMahan
FedML
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Papers citing
"Adaptive Federated Optimization"
50 / 792 papers shown
Title
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning
Dipanwita Thakur
Antonella Guzzo
Giancarlo Fortino
Sajal K. Das
FedML
75
0
0
16 Dec 2024
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning
Minjun Kim
Minjee Kim
Jinhoon Jeong
FedML
MedIm
OOD
69
0
0
16 Dec 2024
Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks
Afsaneh Mahmoudi
Emil Björnson
72
1
0
14 Dec 2024
Impact of Privacy Parameters on Deep Learning Models for Image Classification
Basanta Chaulagain
68
0
0
09 Dec 2024
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications
Francesco Cremonesi
Lucia Innocenti
Sebastien Ourselin
Vicky Goh
Michela Antonelli
Marco Lorenzi
FedML
107
0
0
09 Dec 2024
GP-FL: Model-Based Hessian Estimation for Second-Order Over-the-Air Federated Learning
Shayan Mohajer Hamidi
Ali Bereyhi
S. Asaad
H. Vincent Poor
79
1
0
05 Dec 2024
Review of Mathematical Optimization in Federated Learning
Shusen Yang
Fangyuan Zhao
Zihao Zhou
Liang Shi
Xuebin Ren
Zongben Xu
FedML
AI4CE
77
0
0
02 Dec 2024
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces
Tianwang Jia
Lubin Meng
Siyang Li
Jiajing Liu
Dongrui Wu
102
2
0
02 Dec 2024
Task Arithmetic Through The Lens Of One-Shot Federated Learning
Zhixu Tao
I. Mason
Sanjeev R. Kulkarni
Xavier Boix
MoMe
FedML
84
3
0
27 Nov 2024
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
Dun Zeng
Zheshun Wu
Shiyu Liu
Yu Pan
Xiaoying Tang
Zenglin Xu
MLT
FedML
89
1
0
25 Nov 2024
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources
Siddhant Dutta
Iago Leal de Freitas
Pedro Maciel Xavier
Claudio Miceli de Farias
David E. Bernal Neira
AI4CE
FedML
80
0
0
23 Nov 2024
Federated Learning Client Pruning for Noisy Labels
Mahdi Morafah
Hojin Chang
Chong Chen
Bill Lin
47
1
0
11 Nov 2024
Sketched Adaptive Federated Deep Learning: A Sharp Convergence Analysis
Zhijie Chen
Qiaobo Li
A. Banerjee
FedML
37
0
0
11 Nov 2024
Overcoming label shift in targeted federated learning
Edvin Listo Zec
Adam Breitholtz
Fredrik D. Johansson
FedML
42
0
0
06 Nov 2024
Federated Learning Clients Clustering with Adaptation to Data Drifts
Minghao Li
Dmitrii Avdiukhin
Rana Shahout
Nikita Ivkin
Vladimir Braverman
Minlan Yu
FedML
31
0
0
03 Nov 2024
Federated Black-Box Adaptation for Semantic Segmentation
Jay N. Paranjape
S. Sikder
S. Vedula
Vishal M. Patel
FedML
32
0
0
31 Oct 2024
On Sampling Strategies for Spectral Model Sharding
Denis Korzhenkov
Christos Louizos
FedML
42
0
0
31 Oct 2024
(FL)
2
^2
2
: Overcoming Few Labels in Federated Semi-Supervised Learning
Seungjoo Lee
Thanh-Long V. Le
Jaemin Shin
Sung-Ju Lee
FedML
42
1
0
30 Oct 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Y. Cheung
Amelie Chi Zhou
Bo Han
Xiaowen Chu
FedML
MoMe
AI4CE
49
6
0
27 Oct 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift
Jianfei Chen
Jingfeng Xue
Yanjie Wang
Zhenyan Liu
Lu Huang
FedML
31
0
0
24 Oct 2024
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
Jong-Ik Park
Srinivasa Pranav
J. M. F. Moura
Carlee Joe-Wong
AI4CE
79
2
0
24 Oct 2024
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning using Packed Secret Sharing
Alexander Bienstock
Ujjwal Kumar
Antigoni Polychroniadou
FedML
39
0
0
21 Oct 2024
Distributed Learning for UAV Swarms
Chen Hu
Hanchi Ren
Jingjing Deng
Xianghua Xie
FedML
31
0
0
21 Oct 2024
Federated scientific machine learning for approximating functions and solving differential equations with data heterogeneity
Handi Zhang
Langchen Liu
Lu Lu
FedML
32
1
0
17 Oct 2024
Data Quality Control in Federated Instruction-tuning of Large Language Models
Yaxin Du
Guangyi Liu
Fengting Yuchi
W. Zhao
Jingjing Qu
Yanjie Wang
Siheng Chen
ALM
FedML
56
0
0
15 Oct 2024
FedECADO: A Dynamical System Model of Federated Learning
Aayushya Agarwal
Gauri Joshi
L. Pileggi
FedML
28
0
0
13 Oct 2024
Gradients Stand-in for Defending Deep Leakage in Federated Learning
H. Yi
H. Ren
C. Hu
Y. Li
J. Deng
Xin Xie
FedML
32
0
0
11 Oct 2024
Federated Learning in Practice: Reflections and Projections
Katharine Daly
Hubert Eichner
Peter Kairouz
H. B. McMahan
Daniel Ramage
Zheng Xu
FedML
53
5
0
11 Oct 2024
FedEP: Tailoring Attention to Heterogeneous Data Distribution with Entropy Pooling for Decentralized Federated Learning
Chao Feng
Hongjie Guan
Alberto Huertas Celdrán
Jan von der Assen
Gérome Bovet
Burkhard Stiller
FedML
38
1
0
10 Oct 2024
Communication-Efficient Federated Group Distributionally Robust Optimization
Zhishuai Guo
Tianbao Yang
FedML
35
0
0
08 Oct 2024
Federated brain tumor segmentation: an extensive benchmark
Matthis Manthe
Stefan Duffner
Carole Lartizien
OOD
FedML
49
4
0
07 Oct 2024
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients
Minh Duong Nguyen
Khanh Le
Khoi Do
Nguyen H. Tran
Duc Nguyen
Chien Trinh
Zhaohui Yang
FedML
39
2
0
03 Oct 2024
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos
Sergio Naval Marimont
Jonathan Passerat-Palmbach
G. Tarroni
32
0
0
02 Oct 2024
On the Convergence of FedProx with Extrapolation and Inexact Prox
Hanmin Li
Peter Richtárik
FedML
29
0
0
02 Oct 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning
M. A. Khan
Yasra Chandio
Fatima M. Anwar
AAML
31
0
0
30 Sep 2024
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation
Huidong Tang
Chen Li
Huachong Yu
Sayaka Kamei
Yasuhiko Morimoto
FedML
28
0
0
29 Sep 2024
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning
Chenlin Wu
Xiaoyu He
Zike Li
Zibin Zheng
Zibin Zheng
FedML
29
0
0
24 Sep 2024
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning
Kin Wai Lau
Yasar Abbas Ur Rehman
Pedro Porto Buarque de Gusmão
L. Po
Lan Ma
Yuyang Xie
FedML
34
0
0
24 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Zilinghan Li
Shilan He
Ze Yang
Minseok Ryu
Kibaek Kim
Ravi K. Madduri
FedML
60
6
0
17 Sep 2024
Riemannian Federated Learning via Averaging Gradient Stream
Zhenwei Huang
Wen Huang
Pratik Jawanpuria
Bamdev Mishra
FedML
35
1
0
11 Sep 2024
Towards Practical Overlay Networks for Decentralized Federated Learning
Yifan Hua
Jinlong Pang
Xiaoxue Zhang
Yi Liu
X. Shi
Bao Wang
Yang Liu
Chen Qian
FedML
41
1
0
09 Sep 2024
FedModule: A Modular Federated Learning Framework
Chuyi Chen
Zhe Zhang
Yanchao Zhao
FedML
28
0
0
07 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation
Jiahao Xu
Zikai Zhang
Rui Hu
44
5
0
02 Sep 2024
Towards Hyper-parameter-free Federated Learning
Geetika
Drishya Uniyal
Bapi Chatterjee
FedML
54
0
0
30 Aug 2024
Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing
Vinit Hegiste
T. Legler
Martin Ruskowski
21
2
0
19 Aug 2024
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
Jiaqi Wang
Xiaochen Wang
Lingjuan Lyu
Jinghui Chen
Fenglong Ma
82
5
0
17 Aug 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
Xiaochen Wang
Jiaqi Wang
Houping Xiao
Jianfei Chen
Fenglong Ma
MedIm
69
7
0
17 Aug 2024
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
Alessio Mora
Lorenzo Valerio
Paolo Bellavista
A. Passarella
FedML
MU
51
2
0
14 Aug 2024
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability
Mario Padilla Rodriguez
Mohamed Nafea
FedML
36
0
0
12 Aug 2024
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data
Ji Liu
Juncheng Jia
Hong Zhang
Yuhui Yun
Leye Wang
Yang Zhou
H. Dai
Dejing Dou
FedML
30
6
0
11 Aug 2024
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