9 citations · 15 across the 3 of their papers we have counts for
3 papers
SIA: Symbolic Interpretability for Anticipatory Deep Reinforcement Learning in Network Control
MohammadErfan Jabbari, Abhishek Duttagupta, Claudio Fiandrino +5
Deep reinforcement learning (DRL) promises adaptive control for future mobile networks but conventional agents remain reactive: they act on past and current measurements and cannot…
SymbXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks
Abhishek Duttagupta, MohammadErfan Jabbari, Claudio Fiandrino +2
The operation of future 6th-generation (6G) mobile networks will increasingly rely on the ability of deep reinforcement learning (DRL) to optimize network decisions in real-time. D…
Exploring Lightweight Federated Learning for Distributed Load Forecasting
Abhishek Duttagupta, Jin Zhao, Shanker Shreejith
Federated Learning (FL) is a distributed learning scheme that enables deep learning to be applied to sensitive data streams and applications in a privacy-preserving manner. This pa…