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cs.LG2024
SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overhead
Minsu Kim, Walid Saad, Merouane Debbah +1
The large communication and computation overhead of federated learning (FL) is one of the main challenges facing its practical deployment over resource-constrained clients and syst…
cs.LG2023
Analysis of the Memorization and Generalization Capabilities of AI Agents: Are Continual Learners Robust?
Minsu Kim, Walid Saad
In continual learning (CL), an AI agent (e.g., autonomous vehicles or robotics) learns from non-stationary data streams under dynamic environments. For the practical deployment of…