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Paper list of federated learning: About system design
[ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
FedAnil+ is a novel lightweight, and secure Federated Deep Learning Model to address non-IID data, privacy concerns, and communication overhead. This repo hosts a simulation for FedAnil+ written in Python.
The communication efficiency of federated learning is improved by sparsifying the parameters uploaded by the clients.
This project implements communication-efficient online federated learning strategies for resource-constrained devices using random Fourier features (RFFs) for kernel regression. It reduces communication overhead through partial-sharing and event-triggered updates, ensuring efficient local model updates.