57 citations · 57 across the 2 of their papers we have counts for
7 papers
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions
Pallika Kanani, Virendra J. Marathe, Daniel Peterson +2
Federated Learning (FL) is quickly becoming a goto distributed training paradigm for users to jointly train a global model without physically sharing their data. Users can indirect…
Microsecond Consensus for Microsecond Applications
Marcos K. Aguilera, Naama Ben-David, Rachid Guerraoui +3
We consider the problem of making apps fault-tolerant through replication, when apps operate at the microsecond scale, as in finance, embedded computing, and microservices apps. Th…
Efficient Multi-word Compare and Swap
Rachid Guerraoui, Alex Kogan, Virendra J. Marathe +1
Atomic lock-free multi-word compare-and-swap (MCAS) is a powerful tool for designing concurrent algorithms. Yet, its widespread usage has been limited because lock-free implementat…
Private Federated Learning with Domain Adaptation
Daniel Peterson, Pallika Kanani, Virendra J. Marathe
Federated Learning (FL) is a distributed machine learning (ML) paradigm that enables multiple parties to jointly re-train a shared model without sharing their data with any other p…
Correct, Fast Remote Persistence
Sanidhya Kashyap, Dai Qin, Steve Byan +2
Persistence of updates to remote byte-addressable persistent memory (PM), using RDMA operations (RDMA updates), is a poorly understood subject. Visibility of RDMA updates on the re…
The Impact of RDMA on Agreement
Marcos K. Aguilera, Naama Ben-David, Rachid Guerraoui +2
Remote Direct Memory Access (RDMA) is becoming widely available in data centers. This technology allows a process to directly read and write the memory of a remote host, with a mec…