no code implementations • 21 Jul 2023 • Karan Shah, Vishruth Veerendranath, Anushka Hebbar, Raghavendra Bhat
Streaming Linear Discriminant Analysis (LDA) while proven in Class-incremental Learning deployments at the edge with limited classes (upto 1000), has not been proven for deployment in extreme classification scenarios.
no code implementations • 12 Aug 2021 • Srikanth Chandar, Pravin Chandran, Raghavendra Bhat, Avinash Chakravarthi
The communication of model weight updates in this distributed environment comes with significant network bandwidth costs.
no code implementations • 28 Jun 2021 • Pravin Chandran, Raghavendra Bhat, Avinash Chakravarthi, Srikanth Chandar
Federated Learning allows training of data stored in distributed devices without the need for centralizing training data, thereby maintaining data privacy.
no code implementations • 22 May 2019 • Raghavendra Bhat, Pravin Chandran, Juby Jose, Viswanath Dibbur, Prakash Sirra Ajith
In this paper, we present NTP (Neural Net Topology Profiler), a sophisticated benchmarking framework, to effectively identify memory and compute signature of an end-to-end topology on multiple hardware architectures, without the need for an actual implementation.