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EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient
  Federated Learning

EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning

13 November 2023
Mohammad Mahdi Rahimi
Hasnain Irshad Bhatti
Younghyun Park
Humaira Kousar
Jaekyun Moon
    FedML
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Papers citing "EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning"

4 / 4 papers shown
Title
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
Nurbek Tastan
Samuel Horváth
Martin Takáč
Karthik Nandakumar
FedML
57
0
0
03 Oct 2024
Federated Full-Parameter Tuning of Billion-Sized Language Models with
  Communication Cost under 18 Kilobytes
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes
Zhen Qin
Daoyuan Chen
Bingchen Qian
Bolin Ding
Yaliang Li
Shuiguang Deng
FedML
32
30
0
11 Dec 2023
Ternary Compression for Communication-Efficient Federated Learning
Ternary Compression for Communication-Efficient Federated Learning
Jinjin Xu
W. Du
Ran Cheng
Wangli He
Yaochu Jin
MQ
FedML
32
173
0
07 Mar 2020
Real-time Federated Evolutionary Neural Architecture Search
Real-time Federated Evolutionary Neural Architecture Search
Hangyu Zhu
Yaochu Jin
FedML
131
70
0
04 Mar 2020
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