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cs.DC2022
Distributed Computations with Layered Resolution
Homa Esfahanizadeh, Alejandro Cohen, Muriel Médard +1
Modern computationally-heavy applications are often time-sensitive, demanding distributed strategies to accelerate them. On the other hand, distributed computing suffers from the b…
cs.DC2022
Stream Iterative Distributed Coded Computing for Learning Applications in Heterogeneous Systems
Homa Esfahanizadeh, Alejandro Cohen, Muriel Medard
To improve the utility of learning applications and render machine learning solutions feasible for complex applications, a substantial amount of heavy computations is needed. Thus,…