Abstract: In decentralized machine learning over a network of workers, each worker updates its local model as a weighted average of its local model and all models received from its neighbors.
This story is a complementary profile to the 2025 Hypebeast100, our annual recognition of the creatives shaping fashion and culture today. Explore the full Hypebeast100 list, award winners, and this ...
Abstract: Code-based Distributed Matrix Multiplication (DMM) has been widely studied as an effective method for large-scale matrix computations in distributed systems. Two central challenges in ...
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