A comparative analysis of dynamic averaging techniques in federated learning
A dissertation submitted in fulfilment of the requirements for the degree Master of Science in the School of Computer Science and Applied Mathematics Faculty of Science, University of the Witwatersrand, 2020 === Due to the advancements in mobile technology and user privacy concerns, federated learn...
Main Author: | Reddy, Sashlin |
---|---|
Format: | Others |
Language: | en |
Published: |
2021
|
Online Access: | https://hdl.handle.net/10539/31059 |
Similar Items
-
DACFL: Dynamic Average Consensus-Based Federated Learning in Decentralized Sensors Network
by: Chen, Z., et al.
Published: (2022) -
Averaging Is Probably Not the Optimum Way of Aggregating Parameters in Federated Learning
by: Peng Xiao, et al.
Published: (2020-03-01) -
Federated Averaging Deep Q-NetworkA Distributed Deep Reinforcement Learning Algorithm
by: Backstad, Sebastian
Published: (2018) -
Secure verifiable aggregation for blockchain-based federated averaging
by: Cai, Z., et al.
Published: (2022) -
Model Uncertainty & Model Averaging Techniques
by: Amini Moghadam, Shahram
Published: (2014)