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Proceedings of the 2024 SIGCOMM Workshop on Networks for AI Computing ,
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SqueezeNIC: Low-Latency In-NIC Compression for Distributed ..:
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Proceedings of the 2024 SIGCOMM Workshop on Networks for AI Computing ,
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Proof-of-Concept of a Flexible and High-Fidelity Approach t..:
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Proceedings of the 2024 SIGCOMM Workshop on Networks for AI Computing ,
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OmNICCL: Zero-cost Sparse AllReduce with Direct Cache Acces..:
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Proceedings of the 3rd Workshop on Machine Learning and Systems ,
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A First Look at the Impact of Distillation Hyper-Parameters..:
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Proceedings of the Eighteenth European Conference on Computer Systems ,
5
With Great Freedom Comes Great Opportunity: Rethinking Reso..:
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Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3 ,
7
In-Network Aggregation with Transport Transparency for Dist..:
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Proceedings of the 2023 on Explainable and Safety Bounded, Fidelitous, Machine Learning for Networking ,
8
On Detecting Biased Predictions with Post-hoc Explanation M..:
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Proceedings of the 4th International Workshop on Distributed Machine Learning ,
10
Kimad: Adaptive Gradient Compression with Bandwidth Awarene..:
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Proceedings of the Eighteenth European Conference on Computer Systems ,
11
REFL: Resource-Efficient Federated Learning:
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Proceedings of the on CoNEXT Student Workshop 2023 ,
12
MicroView: Cloud-Native Observability with Temporal Precisi..:
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Proceedings of the 2nd European Workshop on Machine Learning and Systems ,
13
Empirical analysis of federated learning in heterogeneous e..:
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