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Found 4 papers, 1 papers with code
MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks
We introduce MixTailor, a scheme based on randomization of the aggregation strategies that makes it impossible for the attacker to be fully informed.
Adaptive Gradient Quantization for Data-Parallel SGD
Many communication-efficient variants of SGD use gradient quantization schemes.
Representation of Federated Learning via Worst-Case Robust Optimization Theory
Federated learning (FL) is a distributed learning approach where a set of end-user devices participate in the learning process by acting on their isolated local data sets.
Artificial Intelligence as a Services (AI-aaS) on Software-Defined Infrastructure
This paper investigates a paradigm for offering artificial intelligence as a service (AI-aaS) on software-defined infrastructures (SDIs).
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