07
May
Resilient and Efficient Decentralized Learning
Decentralized learning enhances privacy, scalability, and fault tolerance by distributing data and computation across nodes. A popular approach is Federated learning, which relies on a [...]
28
May
Pushing the Boundary for Index Policies: Recent Advances, Challenges and Opportunities
Abstract Many network control problems (e.g., minimizing age-of-information, network slicing, and caching, just to name a few examples) can be cast as Markov Decision Processes [...]
25
Jun
10
Jul