3 papers
cs.LG2024
Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap
Avi Amalanshu, Viswesh Nagaswamy, G. V. S. S. Prudhvi +2
Vertical Federated Learning (VFL) is a machine learning paradigm for learning from vertically partitioned data (i.e. features for each input are distributed across multiple "guest"…
cs.LG2024
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data
Avi Amalanshu, Yash Sirvi, David I. Inouye
Vertical Federated Learning (VFL) is an emergent distributed machine learning paradigm for collaborative learning between clients who have disjoint features of common entities. How…
cs.CV2023
[Re] CLRNet: Cross Layer Refinement Network for Lane Detection
Viswesh N, Kaushal Jadhav, Avi Amalanshu +5
The following work is a reproducibility report for CLRNet: Cross Layer Refinement Network for Lane Detection. The basic code was made available by the author. The paper proposes a…