5 citations · 14 across the 12 of their papers we have counts for
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cs.LG2021
DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning
Satheesh K. Perepu, Kaushik Dey
Multi-Agent reinforcement learning has received lot of attention in recent years and have applications in many different areas. Existing methods involving Centralized Training and…
cs.LG2021
Zero-Shot Federated Learning with New Classes for Audio Classification
Gautham Krishna Gudur, Satheesh K. Perepu
Federated learning is an effective way of extracting insights from different user devices while preserving the privacy of users. However, new classes with completely unseen data di…