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MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained
  Machines to Collaboratively Train Larger Models

MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models

4 July 2024
Jin Xie
Songze Li
    FedML
ArXivPDFHTML

Papers citing "MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models"

1 / 1 papers shown
Title
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation
  in Federated Learning
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
Jinhyun So
Chaoyang He
Chien-Sheng Yang
Songze Li
Qian-long Yu
Ramy E. Ali
Başak Güler
Salman Avestimehr
FedML
57
163
0
29 Sep 2021
1