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Found 3 papers, 3 papers with code
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning
Distributed Mean Estimation (DME) is a central building block in federated learning, where clients send local gradients to a parameter server for averaging and updating the model.
DRIVE: One-bit Distributed Mean Estimation
We consider the problem where $n$ clients transmit $d$-dimensional real-valued vectors using $d(1+o(1))$ bits each, in a manner that allows the receiver to approximately reconstruct their mean.
AnchorHash: A Scalable Consistent Hash
Consistent hashing (CH) is a central building block in many networking applications, from datacenter load-balancing to distributed storage.
Data Structures and Algorithms
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