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cs.LG2025
Cooperative SGD with Dynamic Mixing Matrices
Soumya Sarkar, Shweta Jain
One of the most common methods to train machine learning algorithms today is the stochastic gradient descent (SGD). In a distributed setting, SGD-based algorithms have been shown t…
cs.LG2024
Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data Distributions
Shivam Gupta, Tarushi, Tsering Wangzes +1
The rapid growth of data from edge devices has catalyzed the performance of machine learning algorithms. However, the data generated resides at client devices thus there are majorl…