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Adaptive Federated Optimization
v1v2v3v4v5 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Adaptive Federated Optimization"

50 / 815 papers shown
Title
Federated Learning in Practice: Reflections and Projections
Federated Learning in Practice: Reflections and Projections
Katharine Daly
Hubert Eichner
Peter Kairouz
H. B. McMahan
Daniel Ramage
Zheng Xu
FedML
94
10
0
11 Oct 2024
FedEP: Tailoring Attention to Heterogeneous Data Distribution with Entropy Pooling for Decentralized Federated Learning
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
122
1
0
10 Oct 2024
Communication-Efficient Federated Group Distributionally Robust
  Optimization
Communication-Efficient Federated Group Distributionally Robust Optimization
Zhishuai Guo
Tianbao Yang
FedML
126
0
0
08 Oct 2024
Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction
Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction
Zhan-Lun Chang
Dong-Jun Han
Rohit Parasnis
Seyyedali Hosseinalipour
Christopher G. Brinton
61
0
0
08 Oct 2024
Federated brain tumor segmentation: an extensive benchmark
Federated brain tumor segmentation: an extensive benchmark
Matthis Manthe
Stefan Duffner
Carole Lartizien
OODFedML
97
5
0
07 Oct 2024
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer
  Disentanglement via Conflicting Gradients
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
65
2
0
03 Oct 2024
Addressing Data Heterogeneity in Federated Learning with Adaptive
  Normalization-Free Feature Recalibration
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos
Sergio Naval Marimont
Jonathan Passerat-Palmbach
G. Tarroni
62
0
0
02 Oct 2024
On the Convergence of FedProx with Extrapolation and Inexact Prox
On the Convergence of FedProx with Extrapolation and Inexact Prox
Hanmin Li
Peter Richtárik
FedML
93
1
0
02 Oct 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate
  Federated Learning
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning
M. A. Khan
Yasra Chandio
Fatima M. Anwar
AAML
61
0
0
30 Sep 2024
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge
  Distillation
Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation
Huidong Tang
Chen Li
Huachong Yu
Sayaka Kamei
Yasuhiko Morimoto
FedML
105
0
0
29 Sep 2024
Towards Diverse Device Heterogeneous Federated Learning via Task
  Arithmetic Knowledge Integration
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
Mahdi Morafah
Vyacheslav Kungurtsev
Hojin Chang
Chong Chen
Bill Lin
FedML
66
1
0
27 Sep 2024
A Historical Trajectory Assisted Optimization Method for Zeroth-Order
  Federated Learning
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning
Chenlin Wu
Xiaoyu He
Zike Li
Zibin Zheng
Zibin Zheng
FedML
169
0
0
24 Sep 2024
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning
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
84
0
0
24 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework
Zilinghan Li
Shilan He
Ze Yang
Minseok Ryu
Kibaek Kim
Ravi K. Madduri
FedML
152
15
0
17 Sep 2024
Riemannian Federated Learning via Averaging Gradient Stream
Riemannian Federated Learning via Averaging Gradient Stream
Zhenwei Huang
Wen Huang
Pratik Jawanpuria
Bamdev Mishra
FedML
61
1
0
11 Sep 2024
Towards Practical Overlay Networks for Decentralized Federated Learning
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
85
2
0
09 Sep 2024
FedModule: A Modular Federated Learning Framework
FedModule: A Modular Federated Learning Framework
Chuyi Chen
Zhe Zhang
Yanchao Zhao
FedML
55
0
0
07 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive
  Sparsified Model Aggregation
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation
Jiahao Xu
Zikai Zhang
Rui Hu
85
6
0
02 Sep 2024
Towards Hyper-parameter-free Federated Learning
Towards Hyper-parameter-free Federated Learning
Geetika
Drishya Uniyal
Bapi Chatterjee
FedML
99
0
0
30 Aug 2024
Towards Robust Federated Image Classification: An Empirical Study of
  Weight Selection Strategies in Manufacturing
Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing
Vinit Hegiste
T. Legler
Martin Ruskowski
80
2
0
19 Aug 2024
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated
  Knowledge Injection
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
Jiaqi Wang
Xiaochen Wang
Lingjuan Lyu
Jinghui Chen
Fenglong Ma
112
6
0
17 Aug 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
Xiaochen Wang
Jiaqi Wang
Houping Xiao
Jianfei Chen
Fenglong Ma
MedIm
187
8
0
17 Aug 2024
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
FedQUIT: On-Device Federated Unlearning via a Quasi-Competent Virtual Teacher
Alessio Mora
Lorenzo Valerio
Paolo Bellavista
A. Passarella
FedMLMU
145
2
0
14 Aug 2024
Centralized and Federated Heart Disease Classification Models Using UCI
  Dataset and their Shapley-value Based Interpretability
Centralized and Federated Heart Disease Classification Models Using UCI Dataset and their Shapley-value Based Interpretability
Mario Padilla Rodriguez
Mohamed Nafea
FedML
57
0
0
12 Aug 2024
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning
  with Momentum on Shared Server Data
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
85
7
0
11 Aug 2024
On the Convergence of a Federated Expectation-Maximization Algorithm
On the Convergence of a Federated Expectation-Maximization Algorithm
Zhixu Tao
Rajita Chandak
Sanjeev R. Kulkarni
FedML
95
0
0
11 Aug 2024
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review
A. Ankolekar
S. Boie
M. Abdollahyan
E. Gadaleta
S. A. Hasheminasab
...
M. Bussmann
S. Khalid
H. Kruger
Philippe Lambin
G. Papanastasiou
AI4CE
84
2
0
08 Aug 2024
CELLM: An Efficient Communication in Large Language Models Training for
  Federated Learning
CELLM: An Efficient Communication in Large Language Models Training for Federated Learning
Raja Vavekanand
Kira Sam
100
0
0
30 Jul 2024
A federated large language model for long-term time series forecasting
A federated large language model for long-term time series forecasting
Raed Abdel Sater
A. B. Hamza
AI4TS
44
4
0
30 Jul 2024
FADAS: Towards Federated Adaptive Asynchronous Optimization
FADAS: Towards Federated Adaptive Asynchronous Optimization
Yujia Wang
Shiqiang Wang
Songtao Lu
Jinghui Chen
FedML
72
5
0
25 Jul 2024
Lightweight Industrial Cohorted Federated Learning for Heterogeneous
  Assets
Lightweight Industrial Cohorted Federated Learning for Heterogeneous Assets
Madapu Amarlingam
Abhishek Wani
NL Adarsh
FedML
37
2
0
25 Jul 2024
COALA: A Practical and Vision-Centric Federated Learning Platform
COALA: A Practical and Vision-Centric Federated Learning Platform
Weiming Zhuang
Jian Xu
Chen Chen
Jingtao Li
Lingjuan Lyu
VLMFedML
126
5
0
23 Jul 2024
Overcoming Catastrophic Forgetting in Federated Class-Incremental
  Learning via Federated Global Twin Generator
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator
Thinh Nguyen
Khoa D. Doan
Binh T. Nguyen
Danh Le-Phuoc
Kok-Seng Wong
FedML
81
0
0
13 Jul 2024
Combining Federated Learning and Control: A Survey
Combining Federated Learning and Control: A Survey
Jakob Weber
Markus Gurtner
A. Lobe
Adrian Trachte
Andreas Kugi
FedMLAI4CE
115
2
0
12 Jul 2024
DFedSat: Communication-Efficient and Robust Decentralized Federated
  Learning for LEO Satellite Constellations
DFedSat: Communication-Efficient and Robust Decentralized Federated Learning for LEO Satellite Constellations
Minghao Yang
Jingjing Zhang
Shengyun Liu
FedML
76
3
0
08 Jul 2024
Federated Graph Semantic and Structural Learning
Federated Graph Semantic and Structural Learning
Wenke Huang
Guancheng Wan
Mang Ye
Bo Du
FedML
136
49
0
27 Jun 2024
Semi-Variance Reduction for Fair Federated Learning
Semi-Variance Reduction for Fair Federated Learning
Saber Malekmohammadi
Yaoliang Yu
FedML
183
2
0
23 Jun 2024
Communication-Efficient Adaptive Batch Size Strategies for Distributed
  Local Gradient Methods
Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods
Tim Tsz-Kit Lau
Weijian Li
Chenwei Xu
Han Liu
Mladen Kolar
92
1
0
20 Jun 2024
Synergizing Foundation Models and Federated Learning: A Survey
Synergizing Foundation Models and Federated Learning: A Survey
Shenghui Li
Fanghua Ye
Meng Fang
Jiaxu Zhao
Yun-Hin Chan
Edith C. -H. Ngai
Thiemo Voigt
AI4CE
125
7
0
18 Jun 2024
EncCluster: Scalable Functional Encryption in Federated Learning through
  Weight Clustering and Probabilistic Filters
EncCluster: Scalable Functional Encryption in Federated Learning through Weight Clustering and Probabilistic Filters
Vasileios Tsouvalas
Samaneh Mohammadi
Ali Balador
T. Ozcelebi
Francesco Flammini
N. Meratnia
FedML
60
0
0
13 Jun 2024
Fed-Sophia: A Communication-Efficient Second-Order Federated Learning
  Algorithm
Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm
Ahmed Elbakary
Chaouki Ben Issaid
Mohammad Shehab
Karim G. Seddik
Tamer A. ElBatt
Mehdi Bennis
91
4
0
10 Jun 2024
Federated LoRA with Sparse Communication
Federated LoRA with Sparse Communication
Kevin Kuo
Arian Raje
Kousik Rajesh
Virginia Smith
111
12
0
07 Jun 2024
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large
  Language Models
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
Guangyi Liu
Rui Ge
Xinyu Zhu
Jingyi Chai
Yaxin Du
Yang Liu
Yanfeng Wang
Siheng Chen
FedML
108
19
0
07 Jun 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection
  in Internet of Vehicles
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles
Cyprien Quéméneur
Soumaya Cherkaoui
103
3
0
05 Jun 2024
Buffered Asynchronous Secure Aggregation for Cross-Device Federated
  Learning
Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning
Kun Wang
Yi-Rui Yang
Wu-Jun Li
46
0
0
05 Jun 2024
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair
  Aggregation via Staleness Reweighting
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting
Jeffrey Ma
Alan Tu
Yiling Chen
Vijay Janapa Reddi
FedML
73
1
0
05 Jun 2024
One-Shot Federated Learning with Bayesian Pseudocoresets
One-Shot Federated Learning with Bayesian Pseudocoresets
Tim d'Hondt
Mykola Pechenizkiy
Robert Peharz
FedML
80
0
0
04 Jun 2024
Accelerating Heterogeneous Federated Learning with Closed-form
  Classifiers
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
Eros Fani
Raffaello Camoriano
Barbara Caputo
Marco Ciccone
86
4
0
03 Jun 2024
Cohort Squeeze: Beyond a Single Communication Round per Cohort in
  Cross-Device Federated Learning
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning
Kai Yi
Timur Kharisov
Igor Sokolov
Peter Richtárik
FedML
75
2
0
03 Jun 2024
Local Methods with Adaptivity via Scaling
Local Methods with Adaptivity via Scaling
Saveliy Chezhegov
Sergey Skorik
Nikolas Khachaturov
Danil Shalagin
A. Avetisyan
Aleksandr Beznosikov
Martin Takáč
Yaroslav Kholodov
Alexander Gasnikov
117
3
0
02 Jun 2024
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