5 citations · 5 across the 7 of their papers we have counts for
9 papers
Why Neural Networks Work
Sayandev Mukherjee, Bernardo A. Huberman
We argue that many properties of fully-connected feedforward neural networks (FCNNs), also called multi-layer perceptrons (MLPs), are explainable from the analysis of a single pair…
Auction-based Operation in LEO Satellite Systems for High-Efficiency Communications
Lin Cheng, Bernardo A. Huberman
We propose an auction-based mechanism to improve the efficiency of low earth orbit satellite communication systems. The mechanism allows the ground stations to bid for downlink res…
Reinforcement Learning for Standards Design
Shahrukh Khan Kasi, Sayandev Mukherjee, Lin Cheng +1
Communications standards are designed via committees of humans holding repeated meetings over months or even years until consensus is achieved. This includes decisions regarding th…
SAFE: Secure Aggregation with Failover and Encryption
Thomas Sandholm, Sayandev Mukherjee, Bernardo A. Huberman
We propose and experimentally evaluate a novel secure aggregation algorithm targeted at cross-organizational federated learning applications with a fixed set of participating learn…
A Reconfigurable Relay for Polarization Encoded QKD Networks
Jing Wang, Bernardo A. Huberman
We propose a method for reconfiguring a relay node for polarization encoded quantum key distribution (QKD) networks. The relay can be switched between trusted and untrusted modes t…
Intelligent Bandwidth Allocation for Latency Management in NG-EPON using Reinforcement Learning Methods
Qi Zhou, Jingjie Zhu, Junwen Zhang +3
A novel intelligent bandwidth allocation scheme in NG-EPON using reinforcement learning is proposed and demonstrated for latency management. We verify the capability of the propose…