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分享你觉得有意思有价值的论文

#1 opened Mar 8, 2017 by gaocegege

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Towards Federated Learning at Scale: System Design TODO-未读 area/distributed-systems area/large-scale-ml area/ml type/paper

#220 opened Jun 22, 2020 by gaocegege

Communication-Efficient Learning of Deep Networks from Decentralized Data TODO-未读 area/large-scale-ml area/ml area/security type/paper

#219 opened Jun 22, 2020 by gaocegege

Occlum: Secure and Efficient Multitasking Inside a Single Enclave of Intel SGX TODO-未读 area/os area/sandbox area/security type/paper

#218 opened Jun 22, 2020 by gaocegege

PipeDream: Generalized Pipeline Parallelism for DNN Training TODO-未读 area/distributed-systems area/ml type/paper

#217 opened Jun 10, 2020 by Mrhs121

A Cloud Native Platform for Stateful Streaming TODO-未读 area/cloudnative type/paper

#216 opened Jun 10, 2020 by gaocegege

FATE 联邦学习白皮书 V2.0 TODO-未读 area/large-scale-ml area/ml area/model-inference area/model-visualization type/book

#215 opened May 30, 2020 by gaocegege

Grouper: Accelerating Hyperparameter Searching in Deep Learning Clusters with Network Scheduling TODO-未读 area/AutoML area/distributed-systems area/hyperparameter-tuning area/scheduler type/paper

#214 opened May 8, 2020 by gaocegege

Borg: the next generation TODO-未读 area/data-analytics type/paper

#213 opened Apr 27, 2020 by gaocegege

Autopilot: workload autoscaling at Google TODO-未读 area/distributed-systems type/paper

#212 opened Apr 27, 2020 by gaocegege

Balancing Efﬁciency and Fairness in Heterogeneous GPU Clusters for Deep Learning TODO-未读 area/GPU area/scheduler type/paper

#211 opened Apr 27, 2020 by gaocegege

An Empirical Study on Program Failures of Deep Learning Jobs area/GPU area/distributed-systems area/large-scale-ml area/ml type/paper

#210 opened Apr 20, 2020 by gaocegege

MNN: A Universal and Efficient Inference Engine TODO-未读 area/model-inference type/paper

#208 opened Mar 3, 2020 by gaocegege

Resource Elasticity in Distributed Deep Learning TODO-未读 area/ml type/paper

#207 opened Mar 3, 2020 by gaocegege

What is the State of Neural Network Pruning? TODO-未读 area/ml type/paper

#206 opened Mar 3, 2020 by gaocegege

PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud TODO-未读 area/distributed-systems area/ml type/paper

#205 opened Mar 3, 2020 by gaocegege

A System for Massively Parallel Hyperparameter Tuning TODO-未读 area/AutoML area/hyperparameter-tuning type/paper

#204 opened Mar 3, 2020 by gaocegege

Operating Systems: Three Easy Pieces area/os area/scheduler star type/book

#203 opened Feb 23, 2020 by gaocegege

Towards Transparent CPU Scheduling TODO-未读 area/scheduler type/thesis

#202 opened Feb 19, 2020 by gaocegege

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications TODO-未读 area/GPU area/isolation type/paper

#201 opened Jan 19, 2020 by gaocegege

A survey on Image Data Augmentation for Deep Learning TODO-未读 area/ml type/paper

#200 opened Jan 13, 2020 by gaocegege

CFS: A Distributed File System for Large Scale Container Platforms TODO-未读 area/distributed-systems area/storage type/paper

#199 opened Dec 25, 2019 by gaocegege

Accelerated Training for CNN Distributed Deep Learning through Automatic Resource-Aware Layer Placement area/distributed-systems area/large-scale-ml area/scheduler star type/paper

#198 opened Dec 16, 2019 by gaocegege

Elastic deep learning in multi-tenant GPU cluster area/GPU area/large-scale-ml area/scheduler type/paper

#197 opened Dec 10, 2019 by gaocegege

Themis: Fair and Efficient GPU Cluster Scheduling TODO-未读 area/GPU area/scheduler type/paper

#196 opened Dec 10, 2019 by gaocegege

SWIM: scalable weakly-consistent infection-style process group membership protocol area/distributed-systems star type/paper

#195 opened Dec 6, 2019 by gaocegege

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