Much of the value that IoT (Internet-of-Things) devices bring to “smart”...
To train machine learning models that are robust to distribution shifts ...
Knowledge Distillation is becoming one of the primary trends among neura...
As algorithmic decision-making systems are becoming more pervasive, it i...
In this paper, we study communication efficient distributed algorithms f...
In federated learning, communication cost is often a critical bottleneck...
Investigation of the degree of personalization in federated learning
alg...
The flourishing assessments of fairness measure in machine learning
algo...
Communication overhead is one of the key challenges that hinders the
sca...
Many people are interested in taking astonishing photos and sharing with...