research
∙
02/20/2023
Byzantine-Resistant Secure Aggregation for Federated Learning Based on Coded Computing and Vector Commitment
In this paper, we propose an efficient secure aggregation scheme for fed...
share
research
∙
03/24/2022
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning
We propose SwiftAgg+, a novel secure aggregation protocol for federated ...
research
∙
02/08/2022
SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees
We propose SwiftAgg, a novel secure aggregation protocol for federated l...
research
∙
03/02/2021
Optimal Communication-Computation Trade-Off in Heterogeneous Gradient Coding
Gradient coding allows a master node to derive the aggregate of the part...
research
∙
09/17/2020
Berrut Approximated Coded Computing: Straggler Resistance Beyond Polynomial Computing
One of the major challenges in using distributed learning to train compl...
research
∙
12/26/2018
CodedSketch: A Coding Scheme for Distributed Computation of Approximated Matrix Multiplication
In this paper, we propose CodedSketch, as a distributed straggler-resist...
research
∙
12/26/2018
