3 papers
cs.SD2025
FSSUAVL: A Discriminative Framework using Vision Models for Federated Self-Supervised Audio and Image Understanding
Yasar Abbas Ur Rehman, Kin Wai Lau, Yuyang Xie +2
Recent studies have demonstrated that vision models can effectively learn multimodal audio-image representations when paired. However, the challenge of enabling deep models to lear…
cs.LG2024
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning
Kin Wai Lau, Yasar Abbas Ur Rehman, Pedro Porto Buarque de Gusmão +3
Federated Learning (FL) has emerged as a privacy-preserving method for training machine learning models in a distributed manner on edge devices. However, on-device models face inhe…
cs.SD2024
Exploring Federated Self-Supervised Learning for General Purpose Audio Understanding
Yasar Abbas Ur Rehman, Kin Wai Lau, Yuyang Xie +2
The integration of Federated Learning (FL) and Self-supervised Learning (SSL) offers a unique and synergetic combination to exploit the audio data for general-purpose audio underst…