Aggregating Private Sparse Learning Models Using Multi-Party Computation
9 December 2016Bargav Jayaraman presented on privacy-preserving sparse learning at the Private Multi‑Party Machine Learning workshop attached to NIPS 2016 in Barcelona.
A short paper summarizing the work is: Lu Tian, Bargav Jayaraman, Quanquan Gu, and David Evans. Aggregating Private Sparse Learning Models Using Multi-Party Computation [PDF, 6 pages].
At the workshop, Jack Doerner also presented a talk on An Introduction to Practical Multiparty Computation.