FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences.
Artem AgafonovBrahim ErrajiMartin TakácPublished in: CoRR (2022)
Keyphrases
- learning algorithm
- probabilistic model
- learning scheme
- reinforcement learning
- learning process
- prior knowledge
- multi task
- data compression
- distributed learning
- learning systems
- background knowledge
- learning frameworks
- policy gradient
- object detectors
- statistically significant
- main contribution
- knowledge acquisition
- online learning
- image compression
- higher order
- supervised learning
- multiresolution