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math.OC2025
Composite Optimization with Error Feedback: the Dual Averaging Approach
Yuan Gao, Anton Rodomanov, Jeremy Rack +1
Communication efficiency is a central challenge in distributed machine learning training, and message compression is a widely used solution. However, standard Error Feedback (EF) m…
math.OC2025
Accelerated Distributed Optimization with Compression and Error Feedback
Yuan Gao, Anton Rodomanov, Jeremy Rack +1
Modern machine learning tasks often involve massive datasets and models, necessitating distributed optimization algorithms with reduced communication overhead. Communication compre…