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AI ProjectFederated Learning in Distributed Settings: Comparing FedProx and SCAFFOLD
I compared the performance of the FedProx and SCAFFOLD federated learning algorithms on non-IID data. Experiments used the AG News text classification dataset and a GRU model, and I analyzed each algorithm's convergence behavior.
AI ProjectNode Classification on a Knowledge Graph: Analyzing NELL with a GCN
I performed node classification on the NELL knowledge graph dataset with a GCN (Graph Convolutional Network). I implemented the model in PyTorch Geometric and reached 97.86% test accuracy on 65,755 nodes and 186 classes.
AI ProjectImplementing Deep RL Algorithms: Comparing DQN, Double DQN, and PER
Compares three reinforcement learning algorithms, DQN, Double DQN, and PER, in the CartPole, Acrobot, and MountainCar environments, and analyzes the characteristics and limits of each.