no code implementations • 1 May 2024 • Liu Yang, Shuowei Cai, Di Chai, Junxue Zhang, Han Tian, Yilun Jin, Kun Guo, Kai Chen, Qiang Yang
To this core, we propose PackVFL, an efficient VFL framework based on packed HE (PackedHE), to accelerate the existing HE-based VFL algorithms.
1 code implementation • 4 Mar 2024 • Xudong Liao, Han Tian, Chaoliang Zeng, Xinchen Wan, Kai Chen
We present Astraea, a new learning-based congestion control that ensures fast convergence to fairness with stability.
no code implementations • 4 Apr 2023 • Liu Yang, Di Chai, Junxue Zhang, Yilun Jin, Leye Wang, Hao liu, Han Tian, Qian Xu, Kai Chen
From the hardware layer to the vertical federated system layer, researchers contribute to various aspects of VFL.
no code implementations • 16 Aug 2020 • Hao Wang, Jingrong Chen, Xinchen Wan, Han Tian, Jiacheng Xia, Gaoxiong Zeng, Weiyan Wang, Kai Chen, Wei Bai, Junchen Jiang
Communication overhead poses an important obstacle to distributed DNN training and draws increasing attention in recent years.
no code implementations • 30 Dec 2019 • Qinghe Jing, Weiyan Wang, Junxue Zhang, Han Tian, Kai Chen
The scarcity of data and isolated data islands encourage different organizations to share data with each other to train machine learning models.
no code implementations • 20 Mar 2017 • Han Tian, Hankz Hankui Zhuo
Inspired by distributed representations of words in the literature of natural language processing, we propose a novel approach to measuring the similarity of papers based on distributed representations learned from the citation context of papers.