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Not All Federated Learning Algorithms Are Created Equal: A Performance
  Evaluation Study

Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study

26 March 2024
Gustav A. Baumgart
Jaemin Shin
Ali Payani
Myungjin Lee
Ramana Rao Kompella
    FedML
ArXivPDFHTML

Papers citing "Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study"

3 / 3 papers shown
Title
FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution
FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution
Ali Mollaahmadi Dehaghi
Hossein KhademSohi
Reza Razavi
Steve Drew
Mohammad Moshirpour
FedML
56
0
0
17 Mar 2025
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning
Ping Zhang
Zhaorui Zhang
Sheng Di
Yao Xin
Benben Liu
50
1
0
26 Feb 2025
FedFair: Training Fair Models In Cross-Silo Federated Learning
FedFair: Training Fair Models In Cross-Silo Federated Learning
Lingyang Chu
Lanjun Wang
Yanjie Dong
J. Pei
Zirui Zhou
Yong Zhang
FedML
58
40
0
13 Sep 2021
1