SimProx: A Similarity-Based Aggregation in Federated Learning With Client Weight Optimization
Federated Learning (FL) enables decentralized training of machine learning models across multiple clients, preserving data privacy by aggregating locally trained models without sharing raw data. Traditional aggregation methods, such as Federated Averaging (FedAvg), often assume uniform client contri...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Open Journal of the Communications Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10786254/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|