3 papers
cs.LG2026
ChainLearn: A Blockchain-Based Capacity-Aware Framework for Federated Ensemble Learning
Karan Sharma, Aditya Tripathi, Rahul Mishra +1
Federated learning is used in medical imaging where privacy prohibits centralizing data. Standard federated algorithms assume homogeneous hardware, identical architectures, and cen…
cs.LG2025
SpectralKrum: A Spectral-Geometric Defense Against Byzantine Attacks in Federated Learning
Aditya Tripathi, Karan Sharma, Rahul Mishra +1
Federated Learning (FL) distributes model training across clients who retain their data locally, but this architecture exposes a fundamental vulnerability: Byzantine clients can in…
cs.RO2024
VLSI Architectures of Forward Kinematic Processor for Robotics Applications
Sourav Roy, Subhadeep Paul, Tapas Kumar Maiti
This paper aims to get a comprehensive review of current-day robotic computation technologies at VLSI architecture level. We studied several repots in the domain of robotic process…