2 citations · 2 across the 11 of their papers we have counts for
3 papers · 1 filter
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…
RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models
Saeed Khaki, JinJin Li, Lan Ma +2
Reinforcement learning from human feedback (RLHF) has been extensively employed to align large language models with user intent. However, proximal policy optimization (PPO) based R…
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…