4 papers
Precoding-based protocols for entanglement assisted linear computation over a quantum many-to-one network
Ruoyu Meng, Aditya Ramamoorthy
In this work, we consider the problem of computing a linear combination over a noiseless quantum many-to-one network. There are senders, Alice, , Alice, and a s…
Communication-Efficient Approximate Gradient Coding
Sifat Munim, Aditya Ramamoorthy
Large-scale distributed learning aims at minimizing a loss function that depends on a training dataset with respect to a -length parameter vector. The distributed cluster ty…
Leveraging partial stragglers within gradient coding
Aditya Ramamoorthy, Ruoyu Meng, Vrinda S. Girimaji
Within distributed learning, workers typically compute gradients on their assigned dataset chunks and send them to the parameter server (PS), which aggregates them to compute eithe…
Quantum advantage in zero-error function computation with side information
Ruoyu Meng, Aditya Ramamoorthy
We consider the problem of zero-error function computation with side information. Alice and Bob have correlated sources with joint p.m.f. . Bob wants to…