apoorvakliv / fed2tierLinks
Fed2Tier offers a two-tier federated learning approach, optimizing for eco-friendliness and efficiency. It improves model generalizability by integrating more edge devices and uniquely categorizing clients. The addition of intermediate nodes streamlines communication and reduces carbon emissions, enhancing both privacy and performance.
☆20Updated 2 years ago
Alternatives and similar repositories for fed2tier
Users that are interested in fed2tier are comparing it to the libraries listed below
Sorting:
- A comprehensive guide to installing and configuring Roblox Studio using Vinegar from Flatpak, including model integration and performance…☆15Updated 9 months ago
- The website prioritizes user convenience with search, filter, and sort functions for personalized product discovery. Its structured layou…☆10Updated 2 years ago
- The proposal of this work involves a simulation of an ant colony swarm that was applied to a problem of search and rescue of objects of i…☆12Updated 2 years ago
- "Optimizing Performance and Energy Efficiency in Massively Parallel Systems" PhD Dissertation repository.☆29Updated 3 years ago
- FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for…☆140Updated last week
- High-performance CUDA kernels for real-time financial low latency inference, optimized for both consumer and datacenter GPUs.☆19Updated 5 months ago
- 🚀 Leveraging advanced RNN with LSTM for efficient, real-time anomaly detection in IoT networks, optimized for performance in resource-co…☆13Updated 2 years ago
- Optimizing loading training data from cloud bucket storage for cloud-based distributed deep learning. Official repository for Quantifying…☆11Updated 3 years ago
- Principles and Methodologies for Serial Performance Optimization (OSDI' 25)☆20Updated 6 months ago
- SplitBud is a Split Learning framework built upon Flower☆14Updated 9 months ago
- Measure and optimize the energy consumption of your AI applications!☆325Updated last month
- A Special Open-Source Repository for all kinds of Data Science and Machine Learning Projects! Contribute your EDA Case Studies, ML Models…☆31Updated 4 years ago
- These projects are part of exhaustive lessons on parallel computing algorithms and patterns on GPUs using CUDA.☆17Updated 6 years ago
- ☆12Updated last year
- 6.172 is an 18-unit class that provides a hands-on, project-based introduction to building scalable and high-performance software systems…☆46Updated 4 years ago
- Simulating Distributed Training at Scale☆14Updated 3 months ago
- NVIDIA Federated Learning Application Runtime Environment☆851Updated this week
- Carbon Explorer helps evaluating solutions make datacenters operate on renewable energy.☆86Updated last year
- Correlated Low-rank Structure (CoLR) for Federated Recommendation System☆12Updated last year
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆15Updated 5 years ago
- Library with JIT (Just-in-time) compilation support to optimize performance of small and medium matrix multiplication☆14Updated 4 years ago
- iGniter, an interference-aware GPU resource provisioning framework for achieving predictable performance of DNN inference in the cloud.☆39Updated last year
- The PyTorch codebase for -> DEAP Cache: Deep Eviction Admission and Prefetching for Cache.☆15Updated 5 years ago
- Computer Vision model creates a live video sketch of frames through real time web cam video. Source code is written in python and model i…☆30Updated 5 years ago
- Material workbench for the master-level course CS-E4740 "Federated Learning"☆156Updated 2 weeks ago
- Mobile Federated Learning development kit for FedCampus☆19Updated last year
- Tutorials for running models on First-gen Gaudi and Gaudi2 for Training and Inference. The source files for the tutorials on https://dev…☆62Updated 3 months ago
- ☆44Updated last year
- ☆11Updated last year
- SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training☆35Updated 2 years ago