AggregaThor

Framework over TensorFlow implementing robust stochastic gradient descent

AggregaThor is a distributed SGD framework layered over TensorFlow that integrates pluggable Byzantine-resilient gradient aggregation rules (e.g. Krum, Bulyan, coordinate-wise median) and supports asynchronous parameter-server topologies. It tolerates both Byzantine worker failures and unreliable network links, and its modular design allows aggregation rules and communication backends to be swapped independently.