High-Energy Concentration for Federated Learning in Frequency Domain
FedFD proposes a method for federated learning that uses frequency domain techniques to balance communication and performance. It transforms data using DCT, optimizes low-frequency components through specific objectives, and uses a curriculum strategy to send only necessary low-frequency information. This results in better performance and lower communication costs across image and speech datasets.