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Federated Learning with Compression: Unified Analysis and Sharp Guarantees
In federated learning, communication cost is often a critical bottleneck...
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Efficient Fair Principal Component Analysis
The flourishing assessments of fairness measure in machine learning algo...
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On the Convergence of Local Descent Methods in Federated Learning
In federated distributed learning, the goal is to optimize a global trai...
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Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Communication overhead is one of the key challenges that hinders the sca...
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Straggler-Resilient and Communication-Efficient Distributed Iterative Linear Solver
We propose a novel distributed iterative linear inverse solver method. O...
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On the Optimal Recovery Threshold of Coded Matrix Multiplication
We provide novel coded computation strategies for distributed matrix-mat...
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Farzin Haddadpour
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