Green Federated Learning
Pre-requisite: Knowledge of programming, and Machine Learning.
Syllabus:
- Introduction: Federated Learning Vs. Green Federated Learning
- What is Federated Learning?, Impact of GFL, GFL Challenges, GFL Applications
- Federated Learning vs Green Federated Learning
- Green Federated Learning Applications
- Traditional federated Learning Algorithms
- Federated Averaging (FedAvg)
- Federated Proximity (FedProx)
- Challenges in Green Federated Learning
- Convergence
- Communication Rounds
- Carbon Emmission
- Accuracy
- Algorithms and methods in Green FL
- Methods to address the challenges of green federated learning
- Client Selection
- Quantization
- Model Pruning
Optimization methods in Green federated learning
- SGD
- Adaptive SGD
- Adaptive Learning Rate
Text Book:
Reference Books & Resources:
