118 citations
18 papers
EXACFS -- A CIL Method to mitigate Catastrophic Forgetting
S Balasubramanian, M Sai Subramaniam, Sai Sriram Talasu +4
Deep neural networks (DNNS) excel at learning from static datasets but struggle with continual learning, where data arrives sequentially. Catastrophic forgetting, the phenomenon of…
FLoW3 -- Web3 Empowered Federated Learning
Venkata Raghava Kurada, Pallava Kumar Baruah
Federated Learning is susceptible to various kinds of attacks like Data Poisoning, Model Poisoning and Man in the Middle attack. We perceive Federated Learning as a hierarchical st…
Stochastic Time-Optimal Control Studies for Additional Food provided Prey-Predator Systems involving Holling Type-IV Functional Response
D Bhanu Prakash, D K K Vamsi
We consider an additional food provided prey-predator model exhibiting Holling type IV functional response with combined continuous white noise and discontinuous Lévy noise. We pro…
AMC 12 atomic mass compilation data extrapolated for atomic masses of nuclei far from the valley of stability
K. Venkataramaniah, Shreesha Rao D. S., C. Scheidenberger
The experimental mass data from the Atomic Mass Compilation - 2012 (AMC12) has been analyzed for two-neutron separation energies (S), two-proton separation energies (S$_{2p}…
Stochastic Optimal and Time-Optimal Control Studies for Additional Food provided prey-predator Systems involving Holling Type-III Functional Response
D. Bhanu Prakash, D. K. K. Vamsi
This paper consists of a detailed and novel stochastic optimal control analysis of a coupled non-linear dynamical system. The state equations are modeled as additional food provide…
Quantum theory, thermal gradients and the curved Euclidean space
S. Ganesh
The Euclidean space, obtained by the analytical continuation of time, to an imaginary time, is used to model thermal systems. In this work, it is taken a step further to systems wi…