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A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for
  Dirichlet Distributed Heterogeneous Data

A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for Dirichlet Distributed Heterogeneous Data

3 September 2023
Hamza Reguieg
Mohammed El Hanjri
Mohamed El-Kamili
A. Kobbane
    FedML
ArXivPDFHTML

Papers citing "A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for Dirichlet Distributed Heterogeneous Data"

5 / 5 papers shown
Title
Comprehensive Study on Lumbar Disc Segmentation Techniques Using MRI
  Data
Comprehensive Study on Lumbar Disc Segmentation Techniques Using MRI Data
Serkan Salturk
Irem Sayin
Ibrahim Cem Balci
Taha Emre Pamukcu
Zafer Soydan
Huseyin Uvet
36
0
0
25 Dec 2024
Efficient Collaborations through Weight-Driven Coalition Dynamics in
  Federated Learning Systems
Efficient Collaborations through Weight-Driven Coalition Dynamics in Federated Learning Systems
Mohammed El Hanjri
Hamza Reguieg
Adil Attiaoui
Amine Abouaomar
A. Kobbane
Mohamed El-Kamili
FedML
28
1
0
22 Jan 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for
  Heterogeneous Federated Learning
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning
Kuangpu Guo
Yuhe Ding
Jian Liang
R. He
Zilei Wang
Tieniu Tan
FedML
30
1
0
04 Jan 2024
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
175
355
0
07 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
302
11,681
0
09 Mar 2017
1