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On the Convergence of Heterogeneous Federated Learning with Arbitrary
  Adaptive Online Model Pruning

On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning

27 January 2022
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Wenbo Ding
    FedML
ArXivPDFHTML

Papers citing "On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning"

4 / 4 papers shown
Title
subMFL: Compatiple subModel Generation for Federated Learning in Device
  Heterogenous Environment
subMFL: Compatiple subModel Generation for Federated Learning in Device Heterogenous Environment
Zeyneddin Oz
Ceylan Soygul Oz
A. Malekjafarian
Nima Afraz
Fatemeh Golpayegani
FedML
23
0
0
30 May 2024
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
18
0
0
12 Jul 2023
Towards a Better Theoretical Understanding of Independent Subnetwork
  Training
Towards a Better Theoretical Understanding of Independent Subnetwork Training
Egor Shulgin
Peter Richtárik
AI4CE
26
6
0
28 Jun 2023
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,685
0
14 Apr 2018
1