IEEE

Elastic Aggregation for Federated Optimization

Abstract: Federated learning enables the privacy-preserving training of neural network models using real-world data across distributed clients. FedAvg has become the preferred optimizer for federated ...
IEEE

A Flexible and Scalable Malicious Secure Aggregation Protocol for Federated Learning

Abstract: Secure aggregation becomes a major solution to providing privacy for federated learning. Secure aggregation for mobile devices typically relies on Shamir secret sharing (SSS) to achieve ...
IEEE

Domain Generalization via Aggregation and Separation for Audio Deepfake Detection

Abstract: In this paper, we propose an Aggregation and Separation Domain Generalization (ASDG) method for Audio DeepFake Detection (ADD). Fake speech generated from different methods exhibits varied ...
IEEE

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity

Abstract: The performance of Federated Learning (FL) hinges on the effectiveness of utilizing knowledge from distributed datasets. Traditional FL methods adopt an aggregate-then-adapt framework, where ...
IEEE

Dual Aggregation Transformer for Image Super-Resolution

Abstract: Transformer has recently gained considerable popularity in low-level vision tasks, including image super-resolution (SR). These networks utilize self-attention along different dimensions, ...