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cs.DC2021
Escaping Saddle Points in Distributed Newton's Method with Communication Efficiency and Byzantine Resilience
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar +1
The problem of saddle-point avoidance for non-convex optimization is quite challenging in large scale distributed learning frameworks, such as Federated Learning, especially in the…
cs.DC2020
Reliable Distributed Clustering with Redundant Data Assignment
Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat
In this paper, we present distributed generalized clustering algorithms that can handle large scale data across multiple machines in spite of straggling or unreliable machines. We…