☆10Jun 4, 2021Updated 4 years ago
Alternatives and similar repositories for survey-deep-gradient-compression
Users that are interested in survey-deep-gradient-compression are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Oct 4, 2022Updated 3 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Oct 31, 2020Updated 5 years ago
- A Sparse-tensor Communication Framework for Distributed Deep Learning☆13Nov 1, 2021Updated 4 years ago
- Code for reproducing experiments performed for Accoridon☆13Jun 11, 2021Updated 4 years ago
- We present a set of all-reduce compatible gradient compression algorithms which significantly reduce the communication overhead while mai…☆10Nov 14, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆15Mar 24, 2022Updated 4 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆27Sep 28, 2024Updated last year
- A summay of existing works on vertical federated/split learning☆15Nov 28, 2021Updated 4 years ago
- ☆34Oct 12, 2022Updated 3 years ago
- Federated learning with model quantization☆16Nov 28, 2021Updated 4 years ago
- Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…☆15Sep 21, 2023Updated 2 years ago
- Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".☆11Apr 4, 2023Updated 3 years ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Aug 28, 2023Updated 2 years ago
- PyTorch Implementation of Federated Reconstruction: Partially Local Federated Learning☆15Oct 9, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.☆30Jan 14, 2021Updated 5 years ago
- Create tiny ML systems for on-device learning.☆19Jul 14, 2021Updated 4 years ago
- Research simulation toolkit for federated learning☆13Nov 7, 2020Updated 5 years ago
- ☆10Apr 21, 2022Updated 3 years ago
- GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting☆15Mar 12, 2023Updated 3 years ago
- Code for the CVPR '23 paper, "Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning"☆10Jun 9, 2023Updated 2 years ago
- vector quantization for stochastic gradient descent.☆36May 12, 2020Updated 5 years ago
- ☆57Jan 25, 2021Updated 5 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆37Aug 19, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Artifacts of VLDB'22 paper "COMET: A Novel Memory-Efficient Deep Learning TrainingFramework by Using Error-Bounded Lossy Compression"☆10Aug 2, 2022Updated 3 years ago
- ☆11May 12, 2023Updated 2 years ago
- Code for paper "Learning a Code: Machine Learning for Approximate Non-Linear Coded-Computation"☆10Dec 21, 2020Updated 5 years ago
- ☆15Jun 5, 2023Updated 2 years ago
- SC 2021, "LogECMem: Coupling Erasure-Coded In-Memory Key-Value Stores with Parity Logging"☆12Jul 12, 2021Updated 4 years ago
- ☆41Nov 28, 2022Updated 3 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Dec 28, 2021Updated 4 years ago
- 数値計算100本ノック☆13Jan 27, 2020Updated 6 years ago
- An attempt to replicate the paper "Multi-shot Pedestrian Re-identification via Sequential Decision Making (CVPR2018)"☆10Nov 16, 2019Updated 6 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Learning rate adaptation for differentially private stochastic gradient descent☆18Apr 23, 2021Updated 4 years ago
- ☆12May 3, 2020Updated 5 years ago
- some code and papers related to dynamic graph neural networks☆10Jul 12, 2020Updated 5 years ago
- Local Differential Privacy for Federated Learning☆19Oct 24, 2022Updated 3 years ago
- A large labelled image dataset for benchmarking in federated learning☆104Mar 6, 2024Updated 2 years ago
- SOTA results for reid baseline model (Gluon implementation)☆13Aug 6, 2018Updated 7 years ago
- Code for paper ``Communication-Efficient Federated Learning with Binary Neural Networks'', submitted to JSAC 2021☆10Sep 12, 2021Updated 4 years ago