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02/16/2023
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
Deep neural networks (DNNs) are the de-facto standard for essential use ...
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02/01/2023
: Downlink Compression for Cross-Device Federated Learning
Many compression techniques have been proposed to reduce the communicati...
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05/26/2022
QUIC-FL: Quick Unbiased Compression for Federated Learning
Distributed Mean Estimation (DME) is a fundamental building block in com...
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05/18/2022
Automating In-Network Machine Learning
Using programmable network devices to aid in-network machine learning ha...
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05/17/2022
IIsy: Practical In-Network Classification
The rat race between user-generated data and data-processing systems is ...
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08/19/2021
Communication-Efficient Federated Learning via Robust Distributed Mean Estimation
Federated learning commonly relies on algorithms such as distributed (mi...
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05/19/2021
Stochastic Coordination in Heterogeneous Load Balancing Systems
Current-day data centers and high-volume cloud services employ a broad s...
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05/18/2021
DRIVE: One-bit Distributed Mean Estimation
We consider the problem where n clients transmit d-dimensional real-valu...
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02/24/2021
SALSA: Self-Adjusting Lean Streaming Analytics
Counters are the fundamental building block of many data sketching schem...
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10/05/2020
How to send a real number using a single bit (and some shared randomness)
We consider the fundamental problem of communicating an estimate of a re...
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08/03/2020
Distributed Dispatching in the Parallel Server Model
With the rapid increase in the size and volume of cloud services and dat...
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04/21/2020
Faster and More Accurate Measurement through Additive-Error Counters
Counters are a fundamental building block for networking applications su...
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03/04/2020
LSQ: Load Balancing in Large-Scale Heterogeneous Systems with Multiple Dispatchers
Nowadays, the efficiency and even the feasibility of traditional load-ba...
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09/26/2019
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods
Decision-tree-based ensemble classification methods (DTEMs) are a preval...
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12/23/2018