108 citations · 231 across the 8 of their papers we have counts for
8 papers
Harpocrates: A Statically Typed Privacy Conscious Programming Framework
Sinan Pehlivanoglu, Malte Schwarzkopf
In this paper, we introduce Harpocrates, a compiler plugin and a framework pair for Scala that binds the privacy policies to the data during data creation in form of oblivious memb…
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian, Arash Nasr-Esfahany, Malte Schwarzkopf +2
We study online reinforcement learning (RL) in non-stationary environments, where a time-varying exogenous context process affects the environment dynamics. Online RL is challengin…
Demystifying Reinforcement Learning in Time-Varying Systems
Pouya Hamadanian, Malte Schwarzkopf, Siddartha Sen +1
Recent research has turned to Reinforcement Learning (RL) to solve challenging decision problems, as an alternative to hand-tuned heuristics. RL can learn good policies without the…
Conclave: secure multi-party computation on big data (extended TR)
Nikolaj Volgushev, Malte Schwarzkopf, Ben Getchell +3
Secure Multi-Party Computation (MPC) allows mutually distrusting parties to run joint computations without revealing private data. Current MPC algorithms scale poorly with data siz…
Shared Arrangements: practical inter-query sharing for streaming dataflows
Frank McSherry, Andrea Lattuada, Malte Schwarzkopf +1
Current systems for data-parallel, incremental processing and view maintenance over high-rate streams isolate the execution of independent queries. This creates unwanted redundancy…
Learning Scheduling Algorithms for Data Processing Clusters
Hongzi Mao, Malte Schwarzkopf, Shaileshh Bojja Venkatakrishnan +2
Efficiently scheduling data processing jobs on distributed compute clusters requires complex algorithms. Current systems, however, use simple generalized heuristics and ignore work…