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Federated Learning with Additional Mechanisms on Clients to Reduce
  Communication Costs

Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs

16 August 2019
Xin Yao
Tianchi Huang
Chenglei Wu
Ruixiao Zhang
Lifeng Sun
    FedML
ArXivPDFHTML

Papers citing "Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs"

7 / 7 papers shown
Title
FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models
FedMVP: Federated Multi-modal Visual Prompt Tuning for Vision-Language Models
Mainak Singha
Subhankar Roy
Sarthak Mehrotra
Ankit Jha
Moloud Abdar
Biplab Banerjee
Elisa Ricci
VLM
VPVLM
119
0
0
29 Apr 2025
Federated Distillation for Medical Image Classification: Towards
  Trustworthy Computer-Aided Diagnosis
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis
Sufen Ren
Yule Hu
Shengchao Chen
Guanjun Wang
41
1
0
02 Jul 2024
Heterogeneous Federated Learning: State-of-the-art and Research
  Challenges
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
44
250
0
20 Jul 2023
Continual Learning for Peer-to-Peer Federated Learning: A Study on
  Automated Brain Metastasis Identification
Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification
Yixing Huang
Christoph Bert
Stefan Fischer
Manuel Schmidt
Arnd Dörfler
Andreas Maier
R. Fietkau
F. Putz
FedML
CLL
OOD
MedIm
36
17
0
26 Apr 2022
FedCos: A Scene-adaptive Federated Optimization Enhancement for
  Performance Improvement
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement
Hao Zhang
Tingting Wu
Siyao Cheng
Jie Liu
FedML
40
11
0
07 Apr 2022
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption
Sam Leroux
Pieter Simoens
Meelis Lootus
Kartik Thakore
Akshay Sharma
37
16
0
21 Mar 2022
Fairness and Accuracy in Federated Learning
Fairness and Accuracy in Federated Learning
Wei Huang
Tianrui Li
Dexian Wang
Shengdong Du
Junbo Zhang
FedML
39
52
0
18 Dec 2020
1