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2106.02305
Cited By
Local Adaptivity in Federated Learning: Convergence and Consistency
4 June 2021
Jianyu Wang
Zheng Xu
Zachary Garrett
Zachary B. Charles
Luyang Liu
Gauri Joshi
FedML
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Papers citing
"Local Adaptivity in Federated Learning: Convergence and Consistency"
23 / 23 papers shown
Title
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
Federated brain tumor segmentation: an extensive benchmark
Matthis Manthe
Stefan Duffner
Carole Lartizien
OOD
FedML
35
4
0
07 Oct 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
5
0
11 Aug 2024
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning
Kai Yi
Timur Kharisov
Igor Sokolov
Peter Richtárik
FedML
32
2
0
03 Jun 2024
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
Ziqing Fan
Ruipeng Zhang
Jiangchao Yao
Bo Han
Ya-Qin Zhang
Yanfeng Wang
FedML
32
12
0
29 May 2024
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients
Mengdi Wang
Anna Bodonhelyi
Efe Bozkir
Enkelejda Kasneci
FedML
11
2
0
22 Jan 2024
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
Tianshi Che
Ji Liu
Yang Zhou
Jiaxiang Ren
Jiwen Zhou
Victor S. Sheng
H. Dai
Dejing Dou
23
50
0
23 Oct 2023
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
31
1
0
18 Sep 2023
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data
Xinting Liao
Chaochao Chen
Weiming Liu
Pengyang Zhou
Huabin Zhu
Shuheng Shen
Weiqiang Wang
Mengling Hu
Yanchao Tan
Xiaolin Zheng
FedML
26
6
0
17 Aug 2023
Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup
Yan Sun
Li Shen
Hao Sun
Liang Ding
Dacheng Tao
FedML
19
16
0
30 Jul 2023
Locally Adaptive Federated Learning
Sohom Mukherjee
Nicolas Loizou
Sebastian U. Stich
FedML
19
3
0
12 Jul 2023
Adaptive Federated Learning with Auto-Tuned Clients
J. Kim
Taha Toghani
César A. Uribe
Anastasios Kyrillidis
FedML
32
6
0
19 Jun 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization
Yan Sun
Li Shen
Dacheng Tao
FedML
20
14
0
09 Jun 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
Yan Sun
Li Shen
Shi-Yong Chen
Liang Ding
Dacheng Tao
FedML
27
33
0
19 May 2023
Memory-adaptive Depth-wise Heterogenous Federated Learning
Kai Zhang
Yutong Dai
Hongyi Wang
Eric P. Xing
Xun Chen
Lichao Sun
FedML
18
7
0
08 Mar 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
Yan Sun
Li Shen
Tiansheng Huang
Liang Ding
Dacheng Tao
FedML
29
51
0
21 Feb 2023
FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging
Junyi Li
Feihu Huang
Heng-Chiao Huang
FedML
22
1
0
13 Feb 2023
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation
Ziqing Fan
Yanfeng Wang
Jiangchao Yao
Lingjuan Lyu
Ya-Qin Zhang
Qinghua Tian
FedML
13
20
0
14 Dec 2022
Addressing Heterogeneity in Federated Learning via Distributional Transformation
Haolin Yuan
Bo Hui
Yuchen Yang
Philippe Burlina
Neil Zhenqiang Gong
Yinzhi Cao
FedML
OOD
24
13
0
26 Oct 2022
On the Stability Analysis of Open Federated Learning Systems
Youbang Sun
H. Fernando
Tianyi Chen
Shahin Shahrampour
FedML
21
1
0
25 Sep 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization
Jiayin Jin
Jiaxiang Ren
Yang Zhou
Lingjuan Lyu
Ji Liu
Dejing Dou
AI4CE
FedML
19
51
0
14 Jul 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
Liam Collins
Hamed Hassani
Aryan Mokhtari
Sanjay Shakkottai
FedML
24
74
0
27 May 2022
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection
Tuo Zhang
Chaoyang He
Tian-Shya Ma
Lei Gao
Mark Ma
Salman Avestimehr
FedML
11
112
0
15 Jun 2021
1