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05/29/2023
Global-QSGD: Practical Floatless Quantization for Distributed Learning with Theoretical Guarantees
Efficient distributed training is a principal driver of recent advances ...
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02/13/2023
FilFL: Accelerating Federated Learning via Client Filtering
Federated learning is an emerging machine learning paradigm that enables...
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09/07/2022
SAGE: Software-based Attestation for GPU Execution
With the application of machine learning to security-critical and sensit...
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12/11/2021
Unlocking the Power of Inline Floating-Point Operations on Programmable Switches
The advent of switches with programmable dataplanes has enabled the rapi...
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05/31/2021
With Great Freedom Comes Great Opportunity: Rethinking Resource Allocation for Serverless Functions
Current serverless offerings give users a limited degree of flexibility ...
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05/22/2021
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly
The learning rate (LR) schedule is one of the most important hyper-param...
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03/24/2021
RDMA is Turing complete, we just did not know it yet!
It is becoming increasingly popular for distributed systems to exploit n...
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11/19/2019
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
Compressed communication, in the form of sparsification or quantization ...
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10/07/2019
Assise: Performance and Availability via NVM Colocation in a Distributed File System
The adoption of very low latency persistent memory modules (PMMs) upends...
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05/28/2019
Direct Nonlinear Acceleration
Optimization acceleration techniques such as momentum play a key role in...
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05/27/2019
Natural Compression for Distributed Deep Learning
Due to their hunger for big data, modern deep learning models are traine...
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04/18/2019
Consistent SDNs through Network State Fuzzing
The conventional wisdom is that a software-defined network (SDN) operate...
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02/22/2019
Scaling Distributed Machine Learning with In-Network Aggregation
Training complex machine learning models in parallel is an increasingly ...
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01/25/2019
Partitioned Paxos via the Network Data Plane
Consensus protocols are the foundation for building fault-tolerant, dist...
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01/16/2019
Measurements As First-class Artifacts
The emergence of programmable switches has sparked a significant amount ...
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06/25/2018
Prelude: Ensuring Inter-Domain Loop-Freedom in SDN-Enabled Networks
Software-Defined-eXchanges (SDXes) promise to tackle the timely quest of...
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12/20/2017
