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SplitEasy: A Practical Approach for Training ML models on Mobile Devices
v1v2 (latest)

SplitEasy: A Practical Approach for Training ML models on Mobile Devices

9 November 2020
Kamalesh Palanisamy
Vivek Khimani
Moin Hussain Moti
Dimitris Chatzopoulos
ArXiv (abs)PDFHTML

Papers citing "SplitEasy: A Practical Approach for Training ML models on Mobile Devices"

11 / 11 papers shown
Federated Split Learning with Improved Communication and Storage Efficiency
Federated Split Learning with Improved Communication and Storage EfficiencyIEEE Transactions on Mobile Computing (IEEE TMC), 2025
Yujia Mu
Cong Shen
FedML
181
4
0
21 Jul 2025
Training Machine Learning models at the Edge: A Survey
Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas
Mohamed Reda Bouadjenek
Hakim Hacid
Sunil Aryal
510
31
0
05 Mar 2024
Workflow Optimization for Parallel Split Learning
Workflow Optimization for Parallel Split Learning
Joana Tirana
Dimitra Tsigkari
Georgios Iosifidis
Dimitris Chatzopoulos
175
14
0
01 Feb 2024
MP-SL: Multihop Parallel Split Learning
MP-SL: Multihop Parallel Split Learning
Joana Tirana
S. Lalis
Dimitris Chatzopoulos
277
6
0
31 Jan 2024
An Efficient Split Fine-tuning Framework for Edge and Cloud
  Collaborative Learning
An Efficient Split Fine-tuning Framework for Edge and Cloud Collaborative Learning
Shaoshuai Shi
Qing Yang
Yang Xiang
Shuhan Qi
Xinyu Wang
228
2
0
30 Nov 2022
TorchFL: A Performant Library for Bootstrapping Federated Learning
  Experiments
TorchFL: A Performant Library for Bootstrapping Federated Learning Experiments
Vivek Khimani
S. Jabbari
FedMLAI4CE
278
1
0
01 Nov 2022
Similarity-based Label Inference Attack against Training and Inference
  of Split Learning
Similarity-based Label Inference Attack against Training and Inference of Split LearningIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Junlin Liu
Xinchen Lyu
Qimei Cui
Xiaofeng Tao
FedML
315
41
0
10 Mar 2022
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep
  Learning
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning
Ayush Chopra
Surya Kant Sahu
Abhishek Singh
Abhinav Java
Praneeth Vepakomma
Vivek Sharma
Ramesh Raskar
232
31
0
02 Dec 2021
Communication and Computation Reduction for Split Learning using
  Asynchronous Training
Communication and Computation Reduction for Split Learning using Asynchronous TrainingIEEE Workshop on Signal Processing Systems (SiPS), 2021
Xing Chen
Jingtao Li
C. Chakrabarti
167
39
0
20 Jul 2021
IPLS : A Framework for Decentralized Federated Learning
IPLS : A Framework for Decentralized Federated Learning
C. Pappas
Dimitris Chatzopoulos
S. Lalis
M. Vavalis
VLM
239
77
0
06 Jan 2021
Unleashing the Tiger: Inference Attacks on Split Learning
Unleashing the Tiger: Inference Attacks on Split Learning
Dario Pasquini
G. Ateniese
M. Bernaschi
FedML
794
210
0
04 Dec 2020
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