GitHub

IDER: Idempotent Experience Replay for Reliable Continual Learning

The example results are ResNet18 on different datasets using ER and ER+ID as baseline methods with different buffers and 0-4 seeds. All results reported here were ...
IEEE

A Survey of Differential Privacy Techniques for Federated Learning

Abstract: The problem of data privacy protection in the information age deserves people’s attention. As a distributed machine learning technology, federated learning can effectively solve the problem ...
IEEE

Toward Understanding Federated Learning over Unreliable Networks

Abstract: This paper studies the efficiency of training a statistical model among an edge server and multiple clients via Federated Learning (FL) – a machine learning method that preserves data ...
GitHub

FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated ...

Abstract: Federated learning (FL) is a promising technology for data privacy and distributed optimization, but it suffers from data imbalance and heterogeneity among clients. Existing FL methods try ...