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rustytorch/crates/training/rtx-federated/Cargo.toml.backup
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[package]
name = "rtx-federated"
version = "0.1.0"
edition = "2021"
authors = ["Claude AI Assistant"]
license = "MIT"
description = "Advanced federated learning platform with comprehensive privacy-preserving distributed learning"
keywords = ["federated-learning", "privacy", "distributed", "machine-learning", "rtx"]
categories = ["science", "algorithms", "cryptography", "network-programming"]
[dependencies]
# Essential dependencies
anyhow = "1.0"
thiserror = "1.0"
tracing = "0.1"
tracing-subscriber = "0.3"
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
tokio = { version = "1.0", features = ["full"] }
futures = "0.3"
async-trait = "0.1"
# Math and crypto
nalgebra.workspace = true
rand = "0.8"
num-complex = "0.4"
sha2 = "0.10"
base64 = "0.22"
# Collections and concurrency
indexmap = "2.0"
dashmap = "6.0"
parking_lot = "0.12"
crossbeam = "0.8"
rayon = "1.8"
# Networking and serialization
reqwest = { version = "0.12", features = ["json"] }
bincode = "1.3"
uuid = { version = "1.0", features = ["v4", "serde"] }
# Time and timing
chrono = { version = "0.4", features = ["serde"] }
# Specialized federated learning dependencies
curve25519-dalek = "4.1"
ed25519-dalek = "2.1"
aes-gcm = "0.10"
chacha20poly1305 = "0.10"
ring = "0.17"
x25519-dalek = "2.0"
hkdf = "0.12"
# Differential privacy
statrs = { workspace = true, optional = true }
ndarray = { version = "0.15", optional = true }
# Homomorphic encryption
tfhe = { version = "0.9", optional = true }
# Byzantine fault tolerance
byzantine-generals = { version = "0.1", optional = true }
# Meta-learning support
tch = { version = "0.16", optional = true }
[dev-dependencies]
tokio-test = "0.4"
proptest = "1.4"
criterion = { version = "0.5", features = ["html_reports"] }
tempfile = "3.0"
[features]
default = ["standard"]
standard = ["differential-privacy", "byzantine-robust", "meta-learning"]
differential-privacy = ["statrs", "ndarray"]
homomorphic-encryption = ["tfhe"]
byzantine-robust = ["byzantine-generals"]
meta-learning = ["tch"]
simulation = ["tokio/test-util"]
[[bench]]
name = "federated_bench"
harness = false
[[example]]
name = "federated_demo"
required-features = ["standard"]