8 citations · 15 across the 16 of their papers we have counts for
3 papers · 1 filter
Private Inference in Quantized Models
Zirui Deng, Vinayak Ramkumar, Rawad Bitar +1
A typical setup in many machine learning scenarios involves a server that holds a model and a user that possesses data, and the challenge is to perform inference while safeguarding…
Explicit Information-Debt-Optimal Streaming Codes With Small Memory
M. Nikhil Krishnan, Myna Vajha, Vinayak Ramkumar +1
For a convolutional code in the presence of a symbol erasure channel, the information debt at time provides a measure of the number of additional code symbols required t…
Access-Redundancy Tradeoffs in Quantized Linear Computations
Vinayak Ramkumar, Netanel Raviv, Itzhak Tamo
Linear real-valued computations over distributed datasets are common in many applications, most notably as part of machine learning inference. In particular, linear computations th…