AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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FedPCD is proposed, a priority-constrained federated optimization framework that separates the global optimization objective from client protection, and preserves the conventional federated aggregate as the primary objective, while allowing only the minimum correction necessary to meet client performance constraints.
Deep learning problems rarely involve objectives that are equal in importance. A primary objective defines the goal, whilst secondary objectives, such as sparsity, compression, or robustness constrain the solution. While existing multi-objective methods have proven effective in practice, they have a clear symmetry prob...
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