kimihe / OctoLinks
Create tiny ML systems for on-device learning.
☆20Updated 4 years ago
Alternatives and similar repositories for Octo
Users that are interested in Octo are comparing it to the libraries listed below
Sorting:
- ☆20Updated 3 years ago
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆26Updated 2 years ago
- ☆10Updated 4 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 2 years ago
- Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"☆22Updated 4 years ago
- ☆14Updated 3 years ago
- MobiSys#114☆21Updated 2 years ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Updated 2 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- ☆10Updated 4 years ago
- Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…☆15Updated last year
- Paper list for accleration of transformers☆13Updated 2 years ago
- ☆10Updated 2 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆139Updated last year
- The open-source project for "Mandheling: Mixed-Precision On-Device DNN Training with DSP Offloading"[MobiCom'2022]☆19Updated 3 years ago
- ☆15Updated 4 years ago
- This is a list of awesome edgeAI inference related papers.☆97Updated last year
- ☆46Updated 3 years ago
- [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training☆12Updated 4 months ago
- ☆100Updated last year
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆223Updated last year
- ☆15Updated last year
- [ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inferen…☆14Updated 3 years ago
- [ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark☆111Updated 2 years ago
- Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion☆32Updated last year
- ☆19Updated 4 years ago
- Federated Dynamic Sparse Training☆31Updated 3 years ago
- Code for reproducing experiments performed for Accoridon☆13Updated 4 years ago
- ☆14Updated 3 years ago
- This is the experiment code for the OCGGS problem.☆10Updated 4 years ago