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cs.MA2026
Performance Evaluation of Social Learning
Felice Scala, Marco Carpentiero, Vincenzo Matta +1
Social Learning is a decentralized decision-making paradigm in which spatially dispersed agents collect streaming observations regulated by one of a finite number of models (the hy…
cs.MA2024
Differential error feedback for communication-efficient decentralized learning
Roula Nassif, Stefan Vlaski, Marco Carpentiero +2
Communication-constrained algorithms for decentralized learning and optimization rely on local updates coupled with the exchange of compressed signals. In this context, differentia…