From the 1 of 4 linked papers with an AI index.
4 papers
Precoding-based protocols for entanglement assisted linear computation over a quantum many-to-one network
Ruoyu Meng, Aditya Ramamoorthy
The paper proposes precoding-based protocols that let multiple senders, who share entanglement, transmit quantum states to a single receiver so he can compute a general linear comb…
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…
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…
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…