7 citations · 8 across the 4 of their papers we have counts for
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cs.LG2023★ 1 cited
Personalized Federated Learning with Local Attention
Sicong Liang, Junchao Tian, Shujun Yang +1
Federated Learning (FL) aims to learn a single global model that enables the central server to help the model training in local clients without accessing their local data. The key…
cs.LG2020★ 7 cited
A Simple General Approach to Balance Task Difficulty in Multi-Task Learning
Sicong Liang, Yu Zhang
In multi-task learning, difficulty levels of different tasks are varying. There are many works to handle this situation and we classify them into five categories, including the dir…