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Adaptive Federated Optimization

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
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous
  Client Devices using a Computing Power Aware Scheduler
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices using a Computing Power Aware Scheduler
Zilinghan Li
Pranshu Chaturvedi
Shilan He
Han-qiu Chen
Gagandeep Singh
Volodymyr V. Kindratenko
Eliu A. Huerta
Kibaek Kim
Ravi K. Madduri
FedML
42
9
0
26 Sep 2023
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards
  Understanding Federated Learning for End-to-End ASR
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR
Sheikh Shams Azam
Tatiana Likhomanenko
Martin Pelikan
Jan Honza Silovsky
32
6
0
22 Sep 2023
Preconditioned Federated Learning
Preconditioned Federated Learning
Zeyi Tao
Jindi Wu
Qun Li
FedML
17
0
0
20 Sep 2023
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup
  for Non-IID Data
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data
Hao Sun
Li Shen
Shi-Yong Chen
Jingwei Sun
Jing Li
Guangzhong Sun
Dacheng Tao
FedML
45
1
0
18 Sep 2023
Tackling the Non-IID Issue in Heterogeneous Federated Learning by
  Gradient Harmonization
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization
Xinyu Zhang
Weiyu Sun
Ying-Cong Chen
FedML
36
5
0
13 Sep 2023
Byzantine-Robust Federated Learning with Variance Reduction and
  Differential Privacy
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy
Zikai Zhang
Rui Hu
41
11
0
07 Sep 2023
Federated Learning Over Images: Vertical Decompositions and Pre-Trained
  Backbones Are Difficult to Beat
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
Erdong Hu
Yu-Shuen Tang
Anastasios Kyrillidis
C. Jermaine
FedML
36
10
0
06 Sep 2023
Bias Propagation in Federated Learning
Bias Propagation in Federated Learning
Hong Chang
Reza Shokri
FedML
24
10
0
05 Sep 2023
DRAG: Divergence-based Adaptive Aggregation in Federated learning on
  Non-IID Data
DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data
Feng Zhu
Jingjing Zhang
Shengyun Liu
Xin Wang
FedML
27
1
0
04 Sep 2023
Federated Learning in IoT: a Survey from a Resource-Constrained
  Perspective
Federated Learning in IoT: a Survey from a Resource-Constrained Perspective
Ishmeet Kaur
32
2
0
25 Aug 2023
PFL-GAN: When Client Heterogeneity Meets Generative Models in
  Personalized Federated Learning
PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning
Achintha Wijesinghe
Songyang Zhang
Zhi Ding
31
2
0
23 Aug 2023
ULDP-FL: Federated Learning with Across Silo User-Level Differential
  Privacy
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
Fumiyuki Kato
Li Xiong
Shun Takagi
Yang Cao
Masatoshi Yoshikawa
FedML
25
3
0
23 Aug 2023
Trustworthy Representation Learning Across Domains
Trustworthy Representation Learning Across Domains
Ronghang Zhu
Dongliang Guo
Daiqing Qi
Zhixuan Chu
Xiang Yu
Sheng Li
FaML
AI4TS
39
2
0
23 Aug 2023
A Survey for Federated Learning Evaluations: Goals and Measures
A Survey for Federated Learning Evaluations: Goals and Measures
Di Chai
Leye Wang
Liu Yang
Junxue Zhang
Kai Chen
Qian Yang
ELM
FedML
27
21
0
23 Aug 2023
Federated Learning on Patient Data for Privacy-Protecting Polycystic
  Ovary Syndrome Treatment
Federated Learning on Patient Data for Privacy-Protecting Polycystic Ovary Syndrome Treatment
Lucía Morris
Tori Qiu
Nikhil Raghuraman
27
0
0
22 Aug 2023
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local
  Iterations
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations
Xinpeng Ling
Jie Fu
Kuncan Wang
Haitao Liu
Zhili Chen
FedML
39
2
0
21 Aug 2023
Federated Learning for Connected and Automated Vehicles: A Survey of
  Existing Approaches and Challenges
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges
Vishnu Pandi Chellapandi
Liangqi Yuan
Christopher G. Brinton
Stanislaw H. .Zak
Ziran Wang
FedML
38
75
0
21 Aug 2023
Understanding the Role of Layer Normalization in Label-Skewed Federated
  Learning
Understanding the Role of Layer Normalization in Label-Skewed Federated Learning
Guojun Zhang
Mahdi Beitollahi
Alex Bie
Xi Chen
FedML
MLT
AI4CE
22
1
0
18 Aug 2023
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a
  Service
APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service
Zilinghan Li
Shilan He
Pranshu Chaturvedi
Trung-Hieu Hoang
Minseok Ryu
...
Jordan D. Fuhrman
Maryellen L. Giger
Ryan Chard
Kibaek Kim
Ravi K. Madduri
41
6
0
17 Aug 2023
FedPop: Federated Population-based Hyperparameter Tuning
FedPop: Federated Population-based Hyperparameter Tuning
Haokun Chen
Denis Krompass
Jindong Gu
Volker Tresp
FedML
38
0
0
16 Aug 2023
Stochastic Controlled Averaging for Federated Learning with
  Communication Compression
Stochastic Controlled Averaging for Federated Learning with Communication Compression
Xinmeng Huang
Ping Li
Xiaoyun Li
43
199
0
16 Aug 2023
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models
SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models
Sara Babakniya
A. Elkordy
Yahya H. Ezzeldin
Qingfeng Liu
Kee-Bong Song
Mostafa El-Khamy
Salman Avestimehr
27
57
0
12 Aug 2023
Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate
  Gradients
Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients
Yao Shu
Xiaoqiang Lin
Zhongxiang Dai
Bryan Kian Hsiang Low
FedML
23
5
0
08 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
29
3
0
07 Aug 2023
Adapter-based Selective Knowledge Distillation for Federated
  Multi-domain Meeting Summarization
Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization
Xiachong Feng
Xiaocheng Feng
Xiyuan Du
MingSung Kan
Bing Qin
FedML
29
5
0
07 Aug 2023
Scaling Survival Analysis in Healthcare with Federated Survival Forests:
  A Comparative Study on Heart Failure and Breast Cancer Genomics
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics
Alberto Archetti
F. Ieva
Matteo Matteucci
FedML
25
10
0
04 Aug 2023
Asynchronous Federated Learning with Bidirectional Quantized
  Communications and Buffered Aggregation
Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation
Tomàs Ortega
Hamid Jafarkhani
FedML
33
6
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
24
17
0
30 Jul 2023
The Applicability of Federated Learning to Official Statistics
The Applicability of Federated Learning to Official Statistics
Joshua Stock
Oliver Hauke
Julius Weissmann
Hannes Federrath
FedML
21
1
0
28 Jul 2023
A Practical Recipe for Federated Learning Under Statistical
  Heterogeneity Experimental Design
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design
Mahdi Morafah
Weijia Wang
Bill Lin
FedML
35
7
0
28 Jul 2023
Scaff-PD: Communication Efficient Fair and Robust Federated Learning
Scaff-PD: Communication Efficient Fair and Robust Federated Learning
Yaodong Yu
Sai Praneeth Karimireddy
Yi Ma
Michael I. Jordan
FedML
29
3
0
25 Jul 2023
Client-Level Differential Privacy via Adaptive Intermediary in Federated
  Medical Imaging
Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging
Meirui Jiang
Yuan Zhong
Anjie Le
Xiaoxiao Li
Qianming Dou
FedML
50
5
0
24 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
26
1
0
19 Jul 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for
  Group-Structured Learning
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning
Zachary B. Charles
Nicole Mitchell
Krishna Pillutla
Michael Reneer
Zachary Garrett
FedML
AI4CE
38
28
0
18 Jul 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning
  with Limited Labels
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels
Yae Jee Cho
Gauri Joshi
Dimitrios Dimitriadis
FedML
28
4
0
17 Jul 2023
DynamicFL: Balancing Communication Dynamics and Client Manipulation for
  Federated Learning
DynamicFL: Balancing Communication Dynamics and Client Manipulation for Federated Learning
Bocheng Chen
Nikolay Ivanov
Guangjing Wang
Qiben Yan
22
5
0
16 Jul 2023
Population Expansion for Training Language Models with Private Federated
  Learning
Population Expansion for Training Language Models with Private Federated Learning
Tatsuki Koga
Congzheng Song
Martin Pelikan
Mona Chitnis
FedML
24
1
0
14 Jul 2023
Improved Convergence Analysis and SNR Control Strategies for Federated
  Learning in the Presence of Noise
Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise
Antesh Upadhyay
Abolfazl Hashemi
44
9
0
14 Jul 2023
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated
  Self-Supervised Visual Representation Learning
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning
Yasar Abbas Ur Rehman
Yan Gao
Pedro Gusmão
Mina Alibeigi
Jiajun Shen
Nicholas D. Lane
FedML
40
18
0
14 Jul 2023
Locally Adaptive Federated Learning
Locally Adaptive Federated Learning
Sohom Mukherjee
Nicolas Loizou
Sebastian U. Stich
FedML
21
3
0
12 Jul 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights
Adnane Mansour
Gaia Carenini
Alexandre Duplessis
FedML
26
0
0
12 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
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Shiyu Liu
Shaogao Lv
Dun Zeng
Zenglin Xu
Hongya Wang
Yue Yu
FedML
33
3
0
05 Jul 2023
SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images
SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images
Sunder Ali Khowaja
K. Dev
Syed Muhammad Anwar
M. Linguraru
FedML
15
9
0
04 Jul 2023
Don't Memorize; Mimic The Past: Federated Class Incremental Learning
  Without Episodic Memory
Don't Memorize; Mimic The Past: Federated Class Incremental Learning Without Episodic Memory
Sara Babakniya
Zalan Fabian
Chaoyang He
Mahdi Soltanolkotabi
Salman Avestimehr
FedML
27
2
0
02 Jul 2023
Balancing Accuracy and Training Time in Federated Learning for Violence
  Detection in Surveillance Videos: A Study of Neural Network Architectures
Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos: A Study of Neural Network Architectures
Quentin Pajon
Swan Serre
Hugo Wissocq
Léo Rabaud
Siba Haidar
Antoun Yaacoub
FedML
11
2
0
29 Jun 2023
Momentum Benefits Non-IID Federated Learning Simply and Provably
Momentum Benefits Non-IID Federated Learning Simply and Provably
Ziheng Cheng
Xinmeng Huang
Pengfei Wu
Kun Yuan
FedML
32
17
0
28 Jun 2023
Federated Generative Learning with Foundation Models
Federated Generative Learning with Foundation Models
Jie Zhang
Xiaohua Qi
Bo Zhao
FedML
44
21
0
28 Jun 2023
Federated Learning on Non-iid Data via Local and Global Distillation
Federated Learning on Non-iid Data via Local and Global Distillation
Xiaolin Zheng
Senci Ying
Fei Zheng
Jianwei Yin
Longfei Zheng
Chaochao Chen
Fengqin Dong
FedML
43
6
0
26 Jun 2023
A Survey of Security in UAVs and FANETs: Issues, Threats, Analysis of
  Attacks, and Solutions
A Survey of Security in UAVs and FANETs: Issues, Threats, Analysis of Attacks, and Solutions
Ozlem Ceviz
Pinar Sadioglu
Sevil Sen
20
15
0
25 Jun 2023
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