FedZoo

Update README.md to enhance project overview and usage instructions for FedZoo, including detailed descriptions of supported algorithms, environment dependencies, and example commands for running experiments.

Add experimental results and analysis section to MCFL paper, comparing performance against baseline algorithms under extreme Non-IID data and concept drift scenarios

Expand introduction in MCFL paper to address challenges of client heterogeneity and concept drift, and introduce MCFL's dynamic clustering and meta-learning solutions

Enhance algorithm pseudocode in MCFL paper to clarify server-side clustering logic and dynamic re-clustering conditions