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FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning

FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning

9 July 2021
Di Wu
R. Ullah
P. Harvey
Peter Kilpatrick
I. Spence
Blesson Varghese
ArXivPDFHTML

Papers citing "FedAdapt: Adaptive Offloading for IoT Devices in Federated Learning"

24 / 24 papers shown
Title
EMO: Edge Model Overlays to Scale Model Size in Federated Learning
EMO: Edge Model Overlays to Scale Model Size in Federated Learning
Di Wu
Weibo He
Wanglei Feng
Z. Wen
Bin Qian
Blesson Varghese
39
0
0
01 Apr 2025
Breaking the Memory Wall for Heterogeneous Federated Learning via Model
  Splitting
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting
Chunlin Tian
Li Li
Kahou Tam
Yebo Wu
Chengzhong Xu
FedML
24
1
0
12 Oct 2024
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare
Ming Li
Pengcheng Xu
Junjie Hu
Zeyu Tang
Guang Yang
FedML
40
1
0
15 Sep 2024
Distributed Deep Reinforcement Learning Based Gradient Quantization for
  Federated Learning Enabled Vehicle Edge Computing
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing
Cui Zhang
Wenjun Zhang
Qiong Wu
Pingyi Fan
Qiang Fan
Jiangzhou Wang
Khaled B. Letaief
35
29
0
11 Jul 2024
Asynchronous Byzantine Federated Learning
Asynchronous Byzantine Federated Learning
Bart Cox
Abele Malan
Lydia Y. Chen
Jérémie Decouchant
34
1
0
03 Jun 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for
  Federated Learning
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning
Yanli Li
Jehad Ibrahim
Huaming Chen
Dong Yuan
Kim-Kwang Raymond Choo
22
0
0
03 May 2024
Optimal Batch Allocation for Wireless Federated Learning
Optimal Batch Allocation for Wireless Federated Learning
Jaeyoung Song
Sang-Woon Jeon
26
0
0
03 Apr 2024
Decentralized Proactive Model Offloading and Resource Allocation for
  Split and Federated Learning
Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning
Binbin Huang
Hailiang Zhao
Lingbin Wang
Wenzhuo Qian
Yuyu Yin
Shuiguang Deng
29
0
0
09 Feb 2024
MP-SL: Multihop Parallel Split Learning
MP-SL: Multihop Parallel Split Learning
Joana Tirana
S. Lalis
Dimitris Chatzopoulos
24
3
0
31 Jan 2024
FLight: A Lightweight Federated Learning Framework in Edge and Fog
  Computing
FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing
Wu-Yang Zhu
M. Goudarzi
Rajkumar Buyya
FedML
19
7
0
05 Aug 2023
Training Latency Minimization for Model-Splitting Allowed Federated Edge
  Learning
Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning
Yao Wen
GuoPeng Zhang
Kezhi Wang
Kun Yang
FedML
22
3
0
21 Jul 2023
FLuID: Mitigating Stragglers in Federated Learning using Invariant
  Dropout
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout
Irene Wang
Prashant J. Nair
Divyat Mahajan
22
12
0
05 Jul 2023
An Empirical Study of Federated Learning on IoT-Edge Devices: Resource
  Allocation and Heterogeneity
An Empirical Study of Federated Learning on IoT-Edge Devices: Resource Allocation and Heterogeneity
Kok-Seng Wong
Manh Nguyen-Duc
Khiem Le-Huy
Long Ho-Tuan
Cuong Do-Danh
Danh Le-Phuoc
FedML
25
12
0
31 May 2023
EcoFed: Efficient Communication for DNN Partitioning-based Federated
  Learning
EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning
Di Wu
R. Ullah
Philip Rodgers
Peter Kilpatrick
I. Spence
Blesson Varghese
FedML
27
1
0
11 Apr 2023
PiPar: Pipeline Parallelism for Collaborative Machine Learning
PiPar: Pipeline Parallelism for Collaborative Machine Learning
Zihan Zhang
Philip Rodgers
Peter Kilpatrick
I. Spence
Blesson Varghese
FedML
21
3
0
01 Dec 2022
Latency Aware Semi-synchronous Client Selection and Model Aggregation
  for Wireless Federated Learning
Latency Aware Semi-synchronous Client Selection and Model Aggregation for Wireless Federated Learning
Liang Yu
Xiang Sun
Rana Albelaihi
Chen Yi
FedML
17
13
0
19 Oct 2022
Aergia: Leveraging Heterogeneity in Federated Learning Systems
Aergia: Leveraging Heterogeneity in Federated Learning Systems
Bart Cox
L. Chen
Jérémie Decouchant
FedML
19
11
0
12 Oct 2022
Reducing Impacts of System Heterogeneity in Federated Learning using
  Weight Update Magnitudes
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes
Irene Wang
19
1
0
30 Aug 2022
FedComm: Understanding Communication Protocols for Edge-based Federated
  Learning
FedComm: Understanding Communication Protocols for Edge-based Federated Learning
Gary Cleland
Di Wu
R. Ullah
Blesson Varghese
20
5
0
18 Aug 2022
Handling Data Heterogeneity in Federated Learning via Knowledge
  Distillation and Fusion
Handling Data Heterogeneity in Federated Learning via Knowledge Distillation and Fusion
Xu Zhou
Xinyu Lei
Cong Yang
Yichun Shi
Xiao Zhang
Jin-Yang Shi
FedML
17
0
0
23 Jul 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous
  Intelligence in Internet of Things: State of the Art and Future Directions
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions
Qiang Duan
Shijing Hu
Ruijun Deng
Zhihui Lu
FedML
23
61
0
20 Jul 2022
FedFly: Towards Migration in Edge-based Distributed Federated Learning
FedFly: Towards Migration in Edge-based Distributed Federated Learning
R. Ullah
Di Wu
P. Harvey
Peter Kilpatrick
I. Spence
Blesson Varghese
FedML
33
11
0
02 Nov 2021
Performance Optimization for Federated Person Re-identification via
  Benchmark Analysis
Performance Optimization for Federated Person Re-identification via Benchmark Analysis
Weiming Zhuang
Yonggang Wen
Xuesen Zhang
Xin Gan
Daiying Yin
Dongzhan Zhou
Shuai Zhang
Shuai Yi
FedML
76
95
0
26 Aug 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
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