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Found 6 papers, 1 papers with code
PackVFL: Efficient HE Packing for Vertical Federated Learning
To this core, we propose PackVFL, an efficient VFL framework based on packed HE (PackedHE), to accelerate the existing HE-based VFL algorithms.
Towards Fair and Efficient Learning-based Congestion Control
We present Astraea, a new learning-based congestion control that ensures fast convergence to fairness with stability.
A Survey on Vertical Federated Learning: From a Layered Perspective
From the hardware layer to the vertical federated system layer, researchers contribute to various aspects of VFL.
Domain-specific Communication Optimization for Distributed DNN Training
Communication overhead poses an important obstacle to distributed DNN training and draws increasing attention in recent years.
Quantifying the Performance of Federated Transfer Learning
The scarcity of data and isolated data islands encourage different organizations to share data with each other to train machine learning models.
Paper2vec: Citation-Context Based Document Distributed Representation for Scholar Recommendation
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.
