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.RO2024
DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning
Sabariswaran Mani, Sreyas Venkataraman, Abhranil Chandra +4
Robot learning tasks are extremely compute-intensive and hardware-specific. Thus the avenues of tackling these challenges, using a diverse dataset of offline demonstrations that ca…